Applications in the social and behavioural sciences Books

Book SynopsisThis book contains a selection of the best papers of the 33rd Benelux Conference on Artificial Intelligence, BNAIC/ BENELEARN 2021, held in Esch-sur-Alzette, Luxembourg, in November 2021. The 14 papers presented in this volume were carefully reviewed and selected from 46 regular submissions. They address various aspects of artificial intelligence such as natural language processing, agent technology, game theory, problem solving, machine learning, human-agent interaction, AI and education, and data analysis.

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Book SynopsisThis textbook provides a comprehensive, holistic, scientifically precise, and practically relevant description of Enterprise Architecture Management (EAM). Based on state-of-the-art concepts, it also addresses current trends like disruptive digitization or agile methods. The book is structured in five chapters. The first chapter offers a comprehensive overview of EAM. It addresses questions like: what does EAM mean, what is the history of EAM, why do enterprises need EAM, what are its goals, and how is it related to digitalization? It also includes a short overview of essential EAM standards and literature. The second chapter provides an overview of Enterprise Architecture (EA). It starts with clarifying basic terminology and the difference between EA and EAM. It also gives a short summary of existing EA frameworks and methods for structuring the digital ecosystem into layers and views. The third chapter addresses the strategic and tactical context of the EAM capability in an enterprise. It defines essential terms and parameters in the context of enterprise strategy and tactics as well as the operative, organizational context of EAM. The fourth chapter specifies the detailed goals, processes, functions, artifacts, roles and tools of EAM, building the basis for an EAM process framework that provides a comprehensive overview of EAM processes and functions. Closing the circle, the last chapter describes how to evaluate EAM in an enterprise. It starts by laying out core terminology, like “metric” and “strategic performance measurement system” and ends with a framework that integrates the various measuring areas in the context of EA and EAM. This textbook focuses on two groups: First, EAM scholars, ie bachelor or master students of Business Information Systems, Business Administration or Computer Science. And second, EAM practitioners working in the field of IT strategy or EA who need a reliable, scientifically solid, and practically proven state-of-the-art description of essential EAM methods.Table of Contents1. EAM in a Nutshell.- 2. Enterprise Architecture in a Nutshell.- 3. Strategic and Tactical Context of EAM.- 4. EAM Implementation.- 5. EAM Evaluation.

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Book SynopsisThis textbook is aimed at students of non-specialist courses with computer science components. Special emphasis is placed on the so-called life sciences, such as medical technology, rescue engineering, biotechnology, environmental engineering or process engineering. The textbook is suitable for readers in study and practice who want to get an introduction to computer science. The special feature of this book is the problem-based approach, as well as the exercises designed according to different taxonomy levels.Table of ContentsIntroduction to computer science.- Basics of programming in C++.- Arrays and pointers.- File operations.- Object orientation and inheritance.

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Book SynopsisDieses Buch bietet einen wertvollen Ansatz für eine neue, ganzheitliche Herangehensweise zur erfolgreichen Gestaltung der Digitalisierung. Diese wird häufig mit technologischem Fortschritt gleichgesetzt oder nur aus technologisch-wirtschaftlicher Sicht betrachtet. Aber sie ist viel mehr als das: Die Digitalisierung beeinflusst alle Bereiche unseres Lebens - wie wir arbeiten, wie wir lernen, wie wir miteinander kommunizieren und vieles mehr. Um die digitale Epoche jedoch gestalten zu können, ist der Dialog und die Zusammenarbeit von Menschen aus unterschiedlichen Bereichen erforderlich.Der Autor deckt hierzu eine Vielzahl von Themen ab, bietet Lösungsvorschläge für die Herausforderungen, die mit der Digitalisierung einhergehen, und gewährt eine erweiterte Sicht auf die technologischen, wirtschaftlichen und gesellschaftlichen Aspekte der Digitalisierung. Denn gerade in der interdisziplinären Zusammenarbeit und der Einbeziehung des kulturellen Kontextes liegen Ansatzpunkte für eine erfolgreiche Gestaltung der Digitalisierung. Er fordert entsprechend einen Perspektivenwechsel für eine neue Zusammenarbeit, um eine ganzheitliche Betrachtung der Digitalisierung zu fördern. Dazu geht das Buch den Fragen nach, welche Anforderungen hierfür zu erfüllen sind und welche Auswirkungen dieser neue Ansatz haben wird.Table of ContentsEINLEITUNG Von der Neolithische Revolution zur Digitalen Epoche Fazit: Digitalisierung bedarf eines Interdisziplinären Kraftaktes! TEIL 1: MERKMALE, AUSPRÄGUNGEN UND AUSWIRKUNGEN DER DIGITALISIERUNG GRUNDLAGEN DER DIGITALISIERUNG Logik und Arithmetik im Binärsystem Halbleiter: Grundlage exponentieller Leistungssteigerungen Verteilte Daten - Vernetztes Wissen Ökonomische Effekte Merkmale, Auswirkungen und Anforderungen Fazit: Digitalisierung muss und kann gestaltet werden - auf Basis von Fakten! DIGITALE PLATTFORMEN Netzwerkeffekte Plattform versus Wertkette Soziale Medien Fazit: Plattform-Governance ist der Schlüssel! KÜNSTLICHE INTELLIGENZ Künstliche neuronale Netze Starke und schwache Künstliche Intelligenz Do-it-yourself versus Commercials-off-the-Shelf Daten - Algorithmen - Menschen Fazit: Kollaborative statt Künstlicher Intelligenz! TEIL 2: GESTALTUNG DER DIGITALEN EPOCHE INFORMATIONSTECHNOLOGIE Management von Komplexität Cloud-Architektur DevOps Analytics- und IT-Lebenszyklus Internet of Things und Edge Computing Spannungsfelder Fazit: IT bildet die Strategische Basis für die Beherrschung von Komplexität! UNTERNEHMEN UND WIRTSCHAFT Neue Geschäftsmodelle Agile Transformation Kernkompetenzen Fazit: Evolution von Kernkompetenzen ist der Motor der Digitalisierung! STAAT UND GESELLSCHAFT Soziale Marktwirtschaft 2.0 Öffentliche Güter einer vernetzten Gesellschaft Kunst! Fazit: Vernetzung ist die Erfolgsposition der Digitalen Epoche! RESÜMEE

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Book Synopsis​​E-Commerce Strategy: Text and Cases provides the fundamental literature required for graduate students and practitioners to understand electronic commerce. Unlike similar books, topics such as e-channel adoption, factors affecting e-commerce adoption, and strategy design are reviewed in greater depth.Table of ContentsUnderstanding E-commerce.- Technology of E-commerce.- Web Page Hosting.- Concepts in E-commerce.- Understanding E-commerce Product Design Strategy.- E-commerce and Online Auctions.- E-commerce Strategy.- Channels in E-commerce.- E-commerce Portal Design Strategy.- Future Trend - Social Commerce.- Drivers of Online-selling Diffusion: A Look at Organizational and Environmental Factors Through Time.

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Book SynopsisThis book presents a biographical history of the field of systems thinking, by examining the life and work of thirty of its major thinkers. It discusses each thinker’s key contributions, the way this contribution was expressed in practice and the relationship between their life and ideas. This discussion is supported by an extract from the thinker’s own writing, to give a flavour of their work and to give readers a sense of which thinkers are most relevant to their own interests.Trade ReviewFrom the reviews: “Ramage and Shipp wrote this book as a textbook for a course in the UK’s Open University. … This work examines 30 major figures from all disciplines. The authors describe each figure in terms of how their work fits the ‘systems thinking’ pattern … . This book is suitable for its stated purpose as a resource tool for a course in a specialized academic discipline. Summing Up: Recommended. Upper-division undergraduates, graduate students, researchers, and faculty.” (C. G. Wood, Choice, Vol. 47 (9), May, 2010)Table of ContentsEarly Cybernetics.- Gregory Bateson.- Norbert Wiener.- Warren McCulloch.- Margaret Mead.- W. Ross Ashby.- General Systems Theory.- Ludwig von Bertalanffy.- Kenneth Boulding.- Geoffrey Vickers.- Howard Odum.- System Dynamics.- Jay Forrester.- Donella Meadows.- Peter Senge.- Soft and Critical Systems.- C. West Churchman.- Russell Ackoff.- Peter Checkland.- Werner Ulrich.- Michael Jackson.- Later Cybernetics.- Heinz von Foerster.- Stafford Beer.- Humberto Maturana.- Niklas Luhmann.- Paul Watzlawick.- Complexity Theory.- Ilya Prigogine.- Stuart Kauffman.- James Lovelock.- Learning Systems.- Kurt Lewin.- Eric Trist.- Chris Argyris.- Donald Schön.- Mary Catherine Bateson.

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Book SynopsisThis book shows the capabilities of Microsoft Excel in teaching human resource management statistics effectively. Similar to the previously published Excel 2016 for Human Resource Management Statistics, this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical human resource management problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in human resource management courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2019 for Human Resource Management Statistics: A Guide to Solving Practical Problems, 2nd Edition, capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand human resource management problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full practice test (with answers in an appendix) that allows readers to test what they have learned.Table of ContentsPreface.- Acknowledgements.- 1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean.- 2 Random Number Generator.- 3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing.- 4 One-Group t-Test for the Mean.- 6 Correlation and Simple Linear Regression.- 7 Multiple Correlation and Multiple Regression.- 8 One-Way Analysis of Variance (ANOVA).- Appendix A: Answers to End-of-Chapter Practice Problems.- Appendix B: Practice Test.- Appendix C: Answers to Practice Test.- Appendix D: Statistical Formulas.- Appendix E: t-table.- Index.

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Book SynopsisThis book presents the latest research into CSS methods, uses, and results, as presented at the 2019 annual conference of the CSSSA. This conference was held in Santa Fe, New Mexico, October 24 – 27, 2019, at the Drury Plaza Hotel. What follows is a diverse representation of new results and approaches for using the tools of CSS and agent-based modeling (ABM) for exploring complex phenomena across many different domains. Readers will therefore not only have the results of these specific projects on which to build, but will also gain a greater appreciation for the broad scope of CSS, and have a wealth of case-study examples that can serve as meaningful exemplars for new research projects and activities. The Computational Social Science Society of the Americas (CSSSA) is a professional society that aims to advance the field of CSS in all its areas, from fundamental principles to real-world applications, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing novel research findings.Table of ContentsBrian Goode, and Bianica Pires: Encoding Protest Duration in an Agent-Based Model as Characteristic PhaseTransitions Saeed Langarudi, Ashley Page, Connie Maxwell, Yining Bai, Babak Bahaddin, and Alexander Fernald: System-wide Policy Solutions for Water Scarcity Issues D. Cale Reeves, and Varun Rai: More or Faster? Technology Subsidy Policy, Additional Adoptions, and Accelerated Diffusion Anuj Mittal, Nilufer Oran Gibson, and Caroline Krejci: Assessing the Potential of Crowd-shipping for Food Rescue Logistics Using Agent-based Modeling Daria Roithmayr, Fei Fang, and Justin Chin: The Cat and Mouse Dynamics of Getting Around the Law Srikanth Mudigonda, and Milton Friesen: Social Primitives: Exploring Spark of Life Collective Behavior in Agent Based Models Rajesh Venkatachalapathy, Stephen Davies, and William Nehrboss: Wealth dynamics in the presence of network structure and primitive cooperation Amirarsalan Rajabi, Seyyedmilad Talebzadehhosseini, and Ivan Garibay: Resistance of Communities Against Conspiracies Yiding Cao, Yingjun Dong, Minjun Kim, Neil Maclaren, Ankita Kulkarni, Shelley Dionne, Francis Yammarino, and Hiroki Sayama. Capturing the Production of Innovative Ideas: An Online Social Network Experiment and “Idea Geography” Visualization Zahrieh Yousefi, Dietmar Heinke, Ian Apperly, and Peer-Olaf Siebers: An Agent-Based Model to Understand Simple Theory of Mind: Belief Representation Systematic Approach (BRSA) Loren Demerath, James Reid, and E. Dante Suarez: A Model of Emergence featuring Social Mechanisms of Information Compression Juan Salamanca, and Santiago Núñez-Corrales: Social viscosity, fluidity and turbulence in collective perceptions of color: an agent-based model of color scale convergence John Silver: Electoral College: Abandoned Battlegrounds An Agent-Based Model of Campaign Behavior Change with Proportional Allocation of Electors Eric Castellanos, Hang Xie, and Paul Brenner: Global News Sentiment Analysis Amira Al-Khulaidy, and Valentin Vergara Hidd: Corruption and the effects of influence within social networks: An agent-based model of the Lava Jato scandal. *Ece Mutlu, and Ivan Garibay: The Degree-Dependent Threshold Model: Towards a Better Understanding of Opinion Dynamics on Online Social Networks Melissa Vigil, Thi Nguyen, and Ellen Badgley: Inside the Mind of the Nonfiler: An Agent-Based Modeling Approach Paul Davis, Tim McDonald, Ann Pendleton-Jullian, Angela O'Mahony, and Osonde Osoba: A Complex-Systems Agenda for Influencing Policy Analysis Jeffrey Schank: The Evolution of Sharing in the Dictator Game Niloofar Bagheri-Jebelli, Andrew T. Crooks, and William G. Kennedy: Capturing the Effects of Gentrification on Property Values: An Agent-Based Modeling Approach Chathika Gunaratne, Subash Ray, Caroline Alves, and Maria Waldl: Exogenous Shocks Lead to Increased Responsiveness and Shifts in Sentimental Resilience in Online Discussions Zhihao Hu, Xinwei Deng, Achla Marathe, Samarth Swarup and Anil Vullikanti: Decision-Adjusted Modeling for Imbalanced Classification: Predicting Rooftop Solar Panel Adoption in Rural Virginia Gamaliel Palomo, Mario Siller, Arnaud Grignard, and Luis Alonso: An agent-based model of social fabric seen as an emergent behavior in cities Amanda Song, Chad Atalla, Bartholomew Tam, Linjie Li, and Garrison Cottrell: Modifying human facial impression Elizabeth von Briesen, Amy Canevello, Samira Shaikh, John Cox, and Mirsad Hadžikadić: Modeling Genocide: An Agent-Based Model of Bystander Motivation and Societal Restraints Ivan Garibay, Toktam Oghaz, and Niloofar Yousefi: Deep Agent: A Framework for Information Spread and Evolution in Social Networks Nisha Baral, Chathika Gunaratne, Chathura Jayalath, William Rand, Chathurani Senevirathna, and Ivan Garibay: Negative Influence Gradients Lead to Lowered Information Processing Capacity on Social Networks David Dixon: Complex Systems Analysis of Transplant Center Performance Metrics

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Book SynopsisThis book positions itself at the intersection of the key areas of the modern humanities. Different authors from a variety of countries take innovative approaches to investigating multimodal communication, adapting pedagogical design to digital environments and enhancing cognitive skills through transformations in teaching and learning practices. The eclectic forms under study require eclectic approaches and methodologies, and the authors cross disciplinary boundaries drawing on philosophy, linguistics, semiotics, computational linguistics, mathematics, cognitive studies and neuroaesthetics. Part I presents methods of analysing multimodal communication in its different displays, covering promotional video in crowdfunding project presentations, multimodal public signs of prohibition and visuals as arguments. Part II explores varied teaching methodologies that have emerged as a result of and in response to modern technological changes and contains some practical hints for educators. It demonstrates the pedagogical potential of video games, virtual worlds, linguistic corpora and online dictionaries. Part III focuses on psychological and cognitive factors influencing success in the classroom, primarily, ways of developing students’ and teachers’ personalities. The volume sits at the intersection between Communication Studies, Digital Humanities, Discourse Analysis, Education Theory and Cognitive Studies and is useful to scholars and students of communication, languages, education and other areas of the humanities. This book should trigger scholarly discussions as well as stimulating practitioners’ interest in these fields.Table of Contents

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Book SynopsisThis book includes the proceedings of the third workshop on recommender systems in fashion and retail (2021), and it aims to present a state-of-the-art view of the advancements within the field of recommendation systems with focused application to e-commerce, retail, and fashion by presenting readers with chapters covering contributions from academic as well as industrial researchers active within this emerging new field. Recommender systems are often used to solve different complex problems in this scenario, such as product recommendations, size and fit recommendations, and social media-influenced recommendations (outfits worn by influencers).Table of ContentsChapter 1. Using Relational Graph Convolutional Networks to Assign Fashion Communities to Users.- Chapter 2. What Users Want? WARHOL: A Generative Model for Recommendation.- Chapter 3. Knowing When You Don’t Know in Online Fashion: An Uncertainty Aware Size Recommendation Framework.- Chapter 4. SkillSF: In the Sizing Game, Your Size is Your Skill.- Chapter 5. A Critical Analysis of Offline Evaluation Decisions Against Online Results: A Real-Time Recommendations Case Study.- Chapter 6. Attentive Hierarchical Label Sharing for Enhanced Garment and Attribute Classification of Fashion Imagery.- Chapter 7. Style-based Interactive Eyewear Recommendations.

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Book SynopsisThis book constitutes revised selected papers from the 20th Workshop on e-Business, WeB 2021, which took place virtually on December 11, 2021.The purpose of WeB is to provide a forum for researchers and practitioners to discuss findings, novel ideas, and lessons learned to address major challenges and map out the future directions for e-Business. The WeB 2021 theme was “From Grand Challenges to Great Solutions: Digital Transformation in the Age of COVID-19.” The 8 papers included in this volume were carefully reviewed and selected from a total of 24 submissions. The contributions are organized in topical sections as follows: digital innovation and transformation, and e-commerce and social media.Table of ContentsDigital Innovation and Transformation.- Drivers of technological innovation in SMEs during Covid-19 times: an analysis in the Caribbean region using ICONOS Program Database.- Benefits of Business Intelligence Systems and Multiple National Cultures During Covid-19.- Exploring freelancer attributes with peer endorsements.- Effects of COVID-19 on Critics’ Rating Behavior.- E-commerce and Social Media.- A Study Investigating Factors Affecting User Ratings in Mobile Games.- An Insight into Social Media Continuance Use: through Systematic Literature Review.- An Empirical Study of Brand Concept Recall as a Predictor of Brand Loyalty for Dyson.- Pixel Importance: The Impact of Saturation and Brightness on the Spread of Information on Social Media.

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Book SynopsisThis book constitutes the refereed proceedings of the 10th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2022, held in Aveiro, Portugal, in May 2022. The 54 papers accepted for these proceedings were carefully reviewed and selected from 72 submissions. They deal with document analysis; medical image processing; biometrics; pattern recognition and machine learning; computer vision; and other applications. Table of ContentsDOCUMENT ANALYSIS.- Test Sample Selection for Handwriting Recognition through Language Modeling.- Classification of Untranscribed Handwritten Notarial Documents by Textual Contents.- Incremental Vocabularies in Machine Translation through Aligned Embedding Projections.- An Interactive Machine Translation Framework for Modernizing the Language of Historical Documents.- From Captions to Explanations: A Multimodal Transformer-based Architecture for Natural Language Explanation Generation.- MEDICAL IMAGE PROCESSING.- Diagnosis of Skin Cancer Using Hierarchical Neural Networks and Metadata.- Lesion-Based Chest Radiography Image Retrieval for Explainability in Pathology Detection.- Deep Learning for Diagnosis of Alzheimer’s Disease with FDG-PET Neuroimaging.- Deep Aesthetic Assessment and Retrieval of Breast Cancer Treatment Outcomes.- Increased Robustness in Chest X-ray Classification through Clinical Report-driven regularization.- MEDICAL APPLICATIONS.- Deep Detection Models for Measuring Epidermal Bladder Cells.- On the performance of deep learning models for respiratory sound classification trained on unbalanced data.- Automated Adequacy Assessment of Cervical Cytology Samples using Deep Learning.- Exploring Alterations in Electrocardiogram during the Postoperative Pain.- Differential Gene Expression Analysis of the Most Relevant Genes for Lung Cancer Prediction and Sub-type Classification.- Detection of epilepsy in EEGs using Deep Sequence models - A Comparative Study.- BIOMETRICS.- Facial Emotion Recognition for Sentiment Analysis of Social Media Data.- Heartbeat selection based on outlier removal.- Characterization of emotions through facial Electromyogram signals.- Feature selection for emotional well-being monitorization.- Temporal Convolutional Networks for Robust Face Liveness Detection.- PATTERN RECOGNITION & MACHINE LEARNING.- MaxDropoutV2: An Improved Method to Drop out Neurons in Convolutional Neural Networks.- Transparent management of adjacencies in the cubic grid.- Abbreviating Labelling Cost for Sentinel-2 Image Scene Classification through Active Learning.- Feature-based classification of archaeal sequences using compression-based methods.- A first approach to Image Transformation Sequence Retrieval.- Discriminative Learning of Two-Dimensional Probabilistic Context-Free Grammars for Mathematical Expression Recognition and Retrieval.- COMPUTER VISION.- Golf Swing Sequencing using Computer Vision.- Domain Adaptation in Robotics: A Study Case on Kitchen Utensil Recognition.- An Innovative Vision System for Floor-Cleaning Robots based on YOLOv5.- LIDAR Signature based Node Detection and Classification in graph topological maps for indoor navigation.- Event Vision in Egocentric Human Action Recognition.- An edge-based computer vision approach for determination of sulfonamides in water.- IMAGE PROCESSING.- Visual Semantic Context Encoding for Aerial Data Introspection and Domain Prediction.- An End-to-End Approach for Seam Carving Detection using Deep Neural Networks.- Proposal of a comparative framework for face super-resolution algorithms in forensics.- On the use of Transformers for end-to-end Optical Music Recognition.- Retrieval of Music-Notation Primitives via Image-to-Sequence.- Digital image conspicuous features classification using TLCNN model with SVM classifier.- Contribution of low, mid and high-level image features in predicting human similarity judgements.- On the Topological Disparity Characterization of Square-pixel Binary Image Data by a Labeled Bipartite Graph.- Learning Sparse Masks for Diffusion-based Image Inpainting.- Extracting Descriptive Words from Untranscribed Handwritten Images.- OTHER APPLICATIONS.- GMM-aided DNN Bearing Fault Diagnosis using Sparse Autoencoder Feature Extraction.- Identification of External Defects on FruitsUsing Deep Learning.- Improving Action Quality Assessment using Weighted Aggregation.- Improving Licence Plate Detection using Generative Adversarial Networks.- Film shot type classification based on camera movement styles.- The CleanSea Set: A Benchmark Corpus for Underwater Debris Detection and Recognition.- A case of study on traffic cone detection for autonomous racing on a Jetson platform.- Energy savings in residential buildings based on adaptive thermal comfort models.- Opt-SSL: An Enhanced Self-Supervised Framework for Food Recognition.- Using bus tracking data to detect potential hazard driving zones.- Dynamic PCA based statistical monitoring of air pollutant concentrations in wildfire scenarios.

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Book SynopsisThis open access book contributes to the discourse of Responsible Artificial Intelligence (AI) from an African perspective. It is a unique collection that brings together prominent AI scholars to discuss AI ethics from theoretical and practical African perspectives and makes a case for African values, interests, expectations and principles to underpin the design, development and deployment (DDD) of AI in Africa. The book is a first in that it pays attention to the socio-cultural contexts of Responsible AI that is sensitive to African cultures and societies. It makes an important contribution to the global AI ethics discourse that often neglects AI narratives from Africa despite growing evidence of DDD in many domains. Nine original contributions provide useful insights to advance the understanding and implementation of Responsible AI in Africa, including discussions on epistemic injustice of global AI ethics, opportunities and challenges, an examination of AI co-bots and chatbots in an African work space, gender and AI, a consideration of African philosophies such as Ubuntu in the application of AI, African AI policy, and a look towards a future of Responsible AI in Africa.This is an open access book.Table of ContentsChapter One: Introducing Responsible AI in AfricaChapter Two: Epistemic Just and Dynamic AI Ethics in AfricaChapter Three: Responsible AI in Africa - Challenges and OpportunitiesChapter Four: Working with robots as colleagues: Kenyan perspectives of ethical concerns on possible integration of co-bots in workplacesChapter Five: Artificial Intelligence in Africa: Emerging ChallengesChapter Six: The Use of Gendered Chatbots in Nigeria: Critical PerspectivesChapter Seven: AI Policy as a Response to AI Ethics? Addressing ethical issues in the development of AI policies in North AfricaChapter Eight: Towards Shaping the Future of Responsible AI in Africa

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Book SynopsisThis book constitutes the refereed proceedings of the 12h International Symposium on Business Modeling and Software Design, BMSD 2022, which took place in Fribourg, Switzerland, in June 2022.The 12 full and 9 short papers included in this book were carefully reviewed and selected from a total of 56 submissions. BMSD is a leading international forum that brings together researchers and practitioners interested in business modeling and its relation to software design. Particular areas of interest are: Business Processes and Enterprise Engineering; Business Models and Requirements; Business Models and Services; Business Models and Software; Information Systems Architectures and Paradigms; Data Aspects in Business Modeling and Software Development; Blockchain-Based Business Models and Information Systems; IoT and Implications for Enterprise Information Systems. Each year, a special theme is chosen, for making presentations and discussions more focused. The BMSD 2022 theme is: Information Systems Engineering and Trust. Table of ContentsFull Papers.-- Rapid Prototyping of Business Rule-based Systems with Controlled Natural Language and Semantic Web Software.- - Agile Innovation Through Business Process Management: Realizing the Potential of Digital Transformation.-- Requirements for Dynamic Jumps at the Execution of Business Processes.- Results from the Verification of Models of Spectrum Auctions.- Context-Aware, Intelligent Musical Instruments for Improving Knowledge-Intensive Business Processes.- Detecting Data Incompatibilities in Process-Driven Decision Support Systems.- Semantic Relations of Sub-Models in an Enterprise Model.- VR-EA+TCK: Visualizing Enterprise Architecture, Content, and Knowledge in Virtual Reality.- A Case of Social Dynamics & Social Relativism.- Advantages of a Formal Specification of a Case: From Informal Description via Formal Specification to Realization.- An Architecture for Attesting to the Provenance of Ontologies Using Blockchain Technologies.- Trends for the DevOps Security. A Systematic Literature Review.- Short Papers.- Errors in the Process of Modeling Business Processes.- Use Cases for Augmented Reality Applications in Enterprise Modeling: A Morphological Analysis.- On the Context-Aware Servicing of User Needs: Extracting and Managing Context Information Supported by Rules and Predictions.- Towards Identification and Modelling of Privacy Requirements with Systems Thinking a Reference Architecture for User-Oriented Open Government Data Portals.- KnowGo : An Adaptive Learning-based Multi-Model Framework for Dynamic Automotive Risk Assessment.- OSRM-CCTV: CCTV-aware Routing and Navigation System for Privacy and Safety.- CCTV-Exposure: System for Measuring User’s Privacy Exposure to CCTV Cameras.- Computer Model for Assessment and Visualization of Specific Absorption Rate of Electromagnetic Field, Generated by Smartphone.

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Book SynopsisThis book constitutes the refereed proceedings of the 19th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2022, held in Sant Cugat, Spain, during August - September 2022.The 16 papers presented in this volume were carefully reviewed and selected from 41 submissions. The papers discuss different facets of decision processes in a broad sense and present research in data science, machine learning, data privacy, aggregation functions, human decision-making, graphs and social networks, and recommendation and search. They were organized in topical sections as follows: Decision making and uncertainty; Data privacy; Machine Learning and data science.Table of Contents​Decision making and uncertainty.- Optimality Analysis for Stochastic LP Problems.- A Multi-Perceptual-Based Approach for Group Decision Aiding.- Probabilistic Judgement Aggregation by Opinion Update.- Semiring-valued fuzzy rough sets and colour segmentation.- Data privacy.- Bistochastic privacy.- Improvement of Estimate Distribution with Local Differential Privacy.- Geolocated Data Generation and Protection Using Generative Adversarial Net-works.- Machine Learning and data science.- A Strategic Approach based on AND-OR Recommendation Trees for Updating Obsolete Information.- Identification of Subjects Wearing a Surgical Mask from their Speech by means of x-vectors and Fisher Vectors.- Measuring Fairness in Machine Learning models via Counterfactual Examples.- Re-Calibrating Machine Learning Models using Confidence Interval Bounds.- An Analysis of Byzantine-Tolerant Aggregation Mechanisms on Model Poisoning in Federated Learning.- Effective Early Stopping of Point Cloud Neural Networks.- Representation and Interpretability of IE Integral Neural Networks.- Deep Attributed Graph Embeddings.- Estimation of Prediction Error with Regression Trees.

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Book SynopsisThis book presents select contributions of the International Scientific-Practical Conference 2021 (ISCP 2021) organized by East European University (Georgia) and Fresenius University of Applied Sciences (Germany). It discusses the challenges of digital transformation during and after the pandemic and introduces advanced research and solutions from both academic and professional’s aspects. The topics covered include digitalization in social and corporate responsibility, e-commerce and digital entrepreneurship, and digitalization in education.The book is an interesting read for researchers and professionals interested in digital management.

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Book SynopsisThis volume constitutes the proceedings of the 28th International Conference on Collaboration Technologies and Social Computing, CollabTech 2022, held in Santiago, Chile during November 8–11, 2022. The 18 full and 4 work-in-process papers presented in this volume were selected from 37 submissions and underwent careful double-blind peer review. The papers focus on innovative technical, human and organizational approaches to expand collaboration support including computer science, management science, design science, cognitive and social science.Table of ContentsAnalyzing human aspects in software development A systematic mapping study.- Effects of Debriefing in Computer-Supported Collaborative Learning Pyramid Scripts with open-ended task.- The Effect of Pair Programming on Code Maintainability.- Relevant Knowledge Use During Collaborative Explanation Activities: Investigation by Laboratory Experiment, and Computer Simulation Using ACT-R.- Does volunteer engagement pay off? An analysis of user participation in online Citizen Science projects.- Effects of Digital Avatar Robots on perceived social presence and copresence in business meetings between the managers and their coworkers.- Presentation Method for Conveying Nonverbal Information in Online Conference Presentations with a Virtual Stage.- Kano Model-Based Macro and Micro Shift in Feature Perception of Short-Term Online Courses.- Glow-mind: an input/output web system for sharing feelings by pressing a button.- Support by Visually Impaired: A Proposal for a System to Present Walkability on Maps Using White Cane Data.- How Teacher Education Students Collaborate when Solving an Asymmetric Digital Task.- Using process mining techniques to discover the collective behaviour of educators in a learning community platform.- Collaborative Community Knowledge Building with Personalized Question Recommendations.- Evaluating an adaptive intervention in collaboration scripts deconstructing body image narratives in a social media educational platform.- Students’ basic psychological needs satisfaction at the interface level of a computer-supported collaborative learning tool.- Facilitator Agent to Support Low-resource Language Speakers In MT Mediated Communication.- Towards Implementing Collaborative Learning in Remote Teaching Scenarios.- Scaffolding of Intuitionist Ethical Reasoning with Groupware: Do students’ stances change in different countries?.- Development of Toys for Determining Behavioral Imitation during Parent-Child Interactions.- Estimating peer evaluation potential by utilizing learner model during group work.- Scenario for analysing student interactions and orchestration load in collaborative and hybrid learning environments.- Implicit HCI for Geocollaborative Hyperstories Creation.

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Book SynopsisThis book constitutes the refereed proceedings of the 23rd International Conference on Product-Focused Software Process Improvement, PROFES 2022, which took place in Jyväskylä, Finland in November 2022.The 24 full technical papers, 9 short papers, and 6 poster papers presented in this volume were carefully reviewed and selected from 75 submissions. The book also contains and 8 doctoral symposium papers and 7 tutorial and workshop papers.The contributions were organized in topical sections as follows: Keynote; Cloud and AI; Empirical Studies; Process Management; Refactoring and Technical Dept; Software Business and Digital Innovation; Testing and Bug Prediction; Posters; Tutorials; Workshop on Engineering Processes and Practices for Quantum Software (PPQS’22); 1st Workshop on Computational Intelligence and Software Engineering (CISE 2022); Doctoral Symposium.Table of Contents​ Keynote.- The End-users of Software Systems deserve better.- Cloud and AI.- Managing the Root Causes of "Internal API Hell": An Experience Report.- Requirements for Anomaly Detection Techniques for Microservices.- Requirements for Anomaly Detection Techniques for Microservices.- Requirements for Anomaly Detection Techniques for Microservices.- Empirical Studies.- Defining Requirements Strategies in Agile: A Design Science Research.- Analysing the Relationship between Dependency Definition and Updating Practice when Using Third-Party Libraries.- On the Limitations of Combining Sentiment Analysis Tools in a Cross-Platform Setting.- Marine Data Sharing: Challenges, Technology Drivers and Quality Attributes.- Marine Data Sharing: Challenges, Technology Drivers and Quality Attributes.- Data-Driven Improvement of Static Application Security Testing Service: An Experience Report in Visma.- Near Failure Analysis using Dynamic Behavioural Data.- Process Management.- A Process Model of Product Strategy Development: A Case of B2B SaaS Product.- A Process Model of Product Strategy Development: A Case of B2B SaaS Product.- Benefit Considerations in Project Decisions.- Towards Situational Process Management for Professional Education Programmes.- Change Management in Cloud-Based Offshore Software Development: A Client-Vendor Perspective.- Half-Empty Offices in Flexible Work Arrangements: Why are Employees Not Returning?.- Refactoring and Technical Dept.- Technical Debt in Service-Oriented Software Systems.- An Investigation of Entropy and Refactoring in Software Evolution.- "To Clean Code or Not To Clean Code" A Survey among Practitioners.- Software Business and Digital Innovation.- Counter the Uncertainties in a Dynamic World: Approach for Creating Outcome-Driven Product Roadmaps.- Designing Platforms for Crowd-based Software Prototype Validation: A Design Science Study.- Rapid delivery of software: The effect of alignment on time to market.- Exploring the “Why,” “How,” and “What” of Continuous Digital Service Innovation.- Why Traditional Product Roadmaps Fail in Dynamic Markets: Global Insights.- Why Traditional Product Roadmaps Fail in Dynamic Markets: Global Insights.- Why Traditional Product Roadmaps Fail in Dynamic Markets: Global Insights.- Testing and Bug Prediction.- Test Case Selection with Incremental ML.- Inferring Metamorphic Relations from JavaDocs: A Deep Dive Into the MeMo Approach.- An Evaluation of Cross-Project Defect Prediction Approaches on Cross-Personalized Defect Prediction.- A/B Testing in the Small: an Empirical Exploration of Controlled Experimentation on Internal Tools.- TEP-GNN: Accurate Execution Time Prediction of Functional Tests using Graph Neural Networks.- Improving Software Regression Testing Using a Machine Learning-based Method For Test Type Selection.- Early Identification of Invalid Bug Reports in Industrial Settings - A Case Study.- Posters.- RESEM: Searching Regular Expression Patterns with Semantics and Input/Output Examples.- Linking User Stories and Behavior Driven Development Concepts: Ontology, Preliminary Validation and Further Perspectives.- Quality Metrics for Software Development Management and Decision Making: An Analysis of Attitudes and Decisions.- Are NLP Metrics Suitable for Evaluating Generated Code?.- Are NLP Metrics Suitable for Evaluating Generated Code?.- Can the requirements coverage be satisfied with code coverage? User story test coverage.- Tidy Up Your Source Code! Eliminating Wasteful Statements in Automatically Repaired Source Code.- Tutorials- Utilizing User Stories to Bring AI Ethics into Practice in Software Engineering.- Workshop on Engineering Processes and Practices for Quantum Software (PPQS’22).- Classical to Quantum Software Migration Journey Begins: A Conceptual Readiness Model.- 1st Workshop on Computational Intelligence and Software Engineering (CISE 2022).- Technical Debt Forecasting from Source Code using Temporal Convolutional Networks.- Adagio: a bot for AuDio processing AGainst vIOlence.- End Users’Perspective of Performance Issues in Google Play Store .- Predicting Bug-Fixing Time: DistilBERT versus Google BERT.- Proposing Isomorphic Microservices based Architecture for IoT.- Doctoral Symposium.- Ethical Tools, Methods and Principles in Software Engineering and Development: Case Ethical User Stories.- Architectural Degradation and Technical Debt Dashboards (PROFES Doctoral Symposium).- The Impact of Business Design in Improving the Offering of Professional Software Services.- Applications of MLOps in the Cognitive Cloud Continuum "PROFES Doctoral Symposium".- Implementing Artificial Intelligence Ethics in Trustworthy System Development- Ethical Requirements for Software Development.- Developing a Critical Success Factor model for DevOps.- Strategic ICT procurement in Finland: Tensions and Opportunities.- Leverage Software Containers Adoption By decreasing Cyber Risks and systemizing the refactoring of monolithic applications.

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Book SynopsisThe multi-volume set LNAI 13713 until 13718 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2022, which took place in Grenoble, France, in September 2022.The 236 full papers presented in these proceedings were carefully reviewed and selected from a total of 1060 submissions. In addition, the proceedings include 17 Demo Track contributions. The volumes are organized in topical sections as follows: Part I: Clustering and dimensionality reduction; anomaly detection; interpretability and explainability; ranking and recommender systems; transfer and multitask learning; Part II: Networks and graphs; knowledge graphs; social network analysis; graph neural networks; natural language processing and text mining; conversational systems; Part III: Deep learning; robust and adversarial machine learning; generative models; computer vision; meta-learning, neural architecture search; Part IV: Reinforcement learning; multi-agent reinforcement learning; bandits and online learning; active and semi-supervised learning; private and federated learning; . Part V: Supervised learning; probabilistic inference; optimal transport; optimization; quantum, hardware; sustainability; Part VI: Time series; financial machine learning; applications; applications: transportation; demo track. Table of ContentsTime series.- Financial machine learning.- Applications.- Applications: transportation.- Demo track.

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Book SynopsisThe two-volume set LNAI 13495 and LNAI 13496, constitute the refereed post-workshop proceedings of the 23rd Chinese Lexical Semantics Workshop, CLSW 2022, held as a virtual event, during May 14-15, 2022. In total the two-volume set includes 39 full papers and 19 short papers which were carefully reviewed and selected from 214 submissions. They are organized in the following topical sections: lexical semantics; corpus linguistics; general linguistics, lexical resources; computational linguistics, applications of natural language processing.Table of ContentsSemantic Prosody: The Study of Gei in BA and BEI Constructions.- Corpus-Based Lexical Features and Thematic Analysis of China's Five-Year Plan for the 21st Century.- Corpus Construction for Generating Knowledge Graph of Sichuan Cuisine.- Building a Semantically Annotated Corpus of Chinese Directional Complements.- BBAE: a Method for Few-Shot Charge Prediction with Data Augmentation and Neural Network.- A Preliminary Quantitative Investigation of Chinese Monosyndetic Coordinators.- Frequency in Chinese Ballad Song Lyrics: A Quantitative Morpheme-Based Study.- Gender-Related Use of Tonal Patterns in Mandarin Chinese: The Case of Sentence-Final Particle ma.- A Quantitative Study on the Low-Degree Adverb “Shaowei”--A Stylistic Perspective.- The Relationship of Lexical Richness to the Quality of CSL Writings.- Research on Korean "Long-before-Short" Preference from the Perspective of Dependency Distance.- A Dependency Structure Annotation for Modality in Chinese News Articles.- How Do People React to COVID-19 Vaccination? A Corpus-based Study of Macau Netizens’ Online Comments.- REFORM IS A JOURNEY: Conceptualizing China’s Reform and Opening-up in the Official News Discourse.- The Emotion Code in Sensory Modalities: An investigation of the relationship between sensorimotor dimensions and emotional valence-arousal.- From Genitive to Conjunctive: Coordinator li55 in Chongqing Mandarin.- The Prediction Function of Collocations on the Quality Assessment of Chinese Second Language Learners’ Oral Production.- Verb Raising and the Construction Mechanism of Synthetic Compounds.- The Construction of Grammatical Synonym Resources of Disyllabic Verbs in Modern Chinese.- Extraction and Application of Verb Event Structure Based on Grammatical Knowledge-Base of Contemporary Chinese(GKB).- Semantic Classification of Adverbial Nouns Based on Syntactic Treebank and Construction of Collocation Da-tabase.- A Framework for Dictionary Development: Building Domain Dictionary for Legal Field.- RoBERTa: An Efficient Dating Method of Ancient Chinese Texts.- Building a Corpus for Chinese Causality Extraction in Futures Domain.- Research on Hotspots of Educational Application of Natural Language Processing Based on LDA Topic Model.- A Metrological Study on the Spatial Narrative of the Qishu Genre: Take A Dream of Red Mansions and Water Margin as Examples.- Chinese Argument Identification Based on Bert.- Irony Recognition in Chinese Text Based on Linguistic Features and Attention Mechanism.- A Phrase Disambiguation Method of “Quanbu V de N” Based on SBERT Model and Syntactic Rule.- Automatic Recognition of Verb-complement Separable Words Based on BCC.

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Book SynopsisThis book constitutes the proceedings of the 9th International Conference on Decision Support Systems Technologies, ICDSST 2023, held during May 30 – June 1, 2023.The EWG-DSS series of International Conference on Decision Support System Technology (ICDSST) is planned to consolidate the tradition of annual events organized by the EWG-DSS in offering a platform for European and international DSS communities, comprising the academic and industrial sectors, to present state-of-the-art DSS research and developments, to discuss current challenges that surround decision-making processes, to exchange ideas about realistic and innovative solutions, and to co-develop potential business opportunities. The main theme of this year was “Decision Support Systems in An Uncertain World: The Contribution of Digital Twins”. The 21 papers presented in this volume were carefully reviewed and selected from 65 submissions. They were organized in topical sections as follows: DSS models, methods, and tools; DSS for business performance and stakeholders; DSS applications for sustainability in health, energy and transportation; and DSS users and successful adoption.Table of ContentsMulti-actor VIKOR method for highway selection in Montenegro.- A tool to support the decisions for the trace clustering problem with a non-compensatory approach.- An Asset-Based Causal Loop Model to Improve Corporate Value.- Time-aware Optimisation Models for Hospital Logistics.- Prevention and Detection of Network Attacks: A Comprehensive Study.- Section 2: DSS for business performance and stakeholders.- A Literature Review on the Contribution of Industry 4.0 Technologies in OEE Improvement.- MAMCABM: A data-driven stakeholder-based decision-support system that considers uncertainties.- BPR Assessment Framework: Staging Business Processes for Redesign using Cluster Analysis.- A Lean Knowledge Management Processes Framework for Improving the Performance of Manufacturing Supply Chain Decisions in an Uncertain World.- Integrating Existing Knowledge to Accelerate Buildings Renovation Rates in Europe.- Equity-based allocation criteria for water deficit periods: A case study in South Africa.- Section 3: DSS applications for sustainability - health, energy and transportation.- Attracting financing for green energy projects: a city readiness index.- Building risk prediction models for diabetes decision support system.- AHP method applied to the evaluation of costs and pollution emitted by combined means of transport, case of SMMC port Toamasina.- Evaluate the potential of the Physical Internet for last mile delivery in developing countries.- Towards an integrative assessment model for port sustainability decisions: a systematic review.- Section 4: DSS users and successful adoption.- An investigation on Cloud ERP adoption using Technology-Organisation- Environment (TOE) and Diffusion of Innovation (DOI) theories: a systematic review.- Young Elderly DSS Users - Some Reasons for Successful Adoption.- Behavioral studies for the use of visualization in holistic evaluation for multicriteria decision problems decision.- A Digital Distance Learning Critical Success Factors Model for Conducting Learning Analytics Research.- Scientific Authorship in DSS Research: Past Trends and Future Opportunities.

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Book SynopsisThis book constitutes the proceedings of the 17th International Conference on Research Challenges in Information Sciences, RCIS 2023, which took place in Corfu, Greece, during May 23–26, 2023. It focused on the special theme "Information Science and the Connected World".The scope of RCIS is summarized by the thematic areas of information systems and their engineering; user-oriented approaches; data and information management; business process management; domain-specific information systems engineering; data science; information infrastructures, and reflective research and practice. The 28 full papers presented in this volume were carefully reviewed and selected from a total of 87 submissions. The book also includes 15 Forum papers and 6 Doctoral Consortium papers. The contributions were organized in topical sections named: Requirements; conceptual modeling and ontologies; machine learning and analytics; conceptual modeling and semantic networks; business process design and computing in the continuum; requirements and evaluation; monitoring and recommending; business process analysis and improvement; user interface and experience; forum papers; doctoral consortium papers. Two-page abstracts of the tutorials can be found in the back matter of the volume. Table of ContentsRequirements.- Goal Modelling: Design and Manufacturing in Cloud Migration High-Level Requirements.- Idea Browsing on Digital Participation Platforms: A Mixed-methods Requirements Study.- Conceptual modeling and ontologies.- What Do Users Think about Abstractions of Ontology-Driven Conceptual Models.- On the Semantics of Risk Propagation.- The omnipresent role of technology in social-ecological systems: ontological discussion and updated integrated framework.- Machine Learning and Analytics.- Detection of fishing activities from vessel trajectories.- Framework for Blockchain Data Analysis.- Reinforcement learning for scriptless testing: An empirical investigation of reward functions.- Conceptual modeling and semantic networks.- DBSpark: A system for natural language to SPARQL translation.- An Automated Patterns-based Model-to-Model Mapping and Transformation System for Labeled Property Graphs.- Improving Conceptual Domain Characterization in Ontology Networks.- Business Process Design and Computing in the Continuum.- Digital Technology-Driven Business Process Redesign: A Classification Framework.- Supporting the Implementation of Digital Twins for IoT-Enhanced BPs.- Context-Aware Digital Twins to Support Software Management at the Edge.- Adoption of Virtual Agents in Healthcare E-commerce: a Perceived Value Perspective.- Requirements and Evaluation.- Addressing Trust Issues in Supply-Chain Management Systems through Blockchain Software Patterns.- Evaluating Process Effciency with Data Envelopment Analysis: a Case in the Automotive Industry.- A Model of Qualitative Factors in Forensic-Ready Software Systems.- Monitoring and recommending.- Monitoring object-centric Business Processes: An Empirical Study.- A Peekinto the Working Day: Comparing Techniques for Recording Employee Behaviour.- Context-aware recommender systems: aggregation-based dimensionality reduction.- Business processes analysis and improvement Discovery of Improvement Opportunities in Knock-out Checks of Business Processes.- Persuasive Visual Presentation of Prescriptive Business Processes.- TraVaG: Differentially Private Trace Variant Generation Using GANs.- User interface and experience.- When Dashboard’s Content Becomes a Barrier - Exploring the Effects of Cognitive Overloads on BI Adoption.- The effect of visual information complexity on urban mobility intention and behavior.- Interoperability of Open Science Metadata: what about the reality.- Forum papers. -Online-Notes System: Real-time speech recognition and translation of lectures.- Temporal relation extraction from clinical texts using knowledge graphs.- Domain TILEs: Test Informed Learning with Examples from the Testing Domain.- Using GUI change detection for delta testing.- Enterprise Modeling for Machine Learning: Case-based Analysis and Initial Framework Proposal.- Towards Creating a Secure Framework for Building Mirror World Applications.- Towards a Secure and Privacy compliant Framework for Educational Data Mining.- Internet of Cloud (IoC): The need of raising privacy and security awareness.- Comparative study of unsupervised keyword extraction methods for job recommendation in an industrial environment.- A Meta-model for Digital Business Ecosystem Design.- Students in Team-Based Software Development Projects: An Exploratory Study.- Ontology of Product Provenance for Value Networks.- A Data Value Matrix: Linking FAIR Data with Business Models.- An Information Privacy Competency Model for Online Consumers.- DECENT: A Domain Specific Language to Design Governance Decisions.- Doctoral Consortium papers.- Business User-oriented Recommender System of Data.- Secure infrastructure for cyber-physical ranges.- Guidelines for Developers and Recommendations for Users to Mitigate Phishing Attacks: An Interdisciplinary Research Approach.- Leveraging Exogeneous Data for the Predictive Monitoring of IT Service Management Processes.- Predicting privacy decisions in mobile applications and raising users’ privacy awareness.- Information overload: Coping mechanisms and tools impact.

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Book SynopsisThis two-volume set of IFIP-AICT 675 and 676 constitutes the refereed proceedings of the 19th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2023, held in León, Spain, during June 14–17, 2023. This event was held in hybrid mode.The 75 regular papers and 17 short papers presented in this two-volume set were carefully reviewed and selected from 185 submissions. The papers cover the following topics: Deep Learning (Reinforcement/Recurrent Gradient Boosting/Adversarial); Agents/Case Based Reasoning/Sentiment Analysis; Biomedical - Image Analysis; CNN - Convolutional Neural Networks YOLO CNN; Cyber Security/Anomaly Detection; Explainable AI/Social Impact of AI; Graph Neural Networks/Constraint Programming; IoT/Fuzzy Modeling/Augmented Reality; LEARNING (Active-AutoEncoders-Federated); Machine Learning; Natural Language; Optimization-Genetic Programming; Robotics; Spiking NN; and Text Mining /Transfer Learning. Table of ContentsDeep Learning (Reinforcement/Recurrent Gradient Boosting/Adversarial).- Agents/Case Based Reasoning/Sentiment Analysis.- Biomedical - Image Analysis.- CNN - Convolutional Neural Networks YOLO CNN.- Cyber Security/Anomaly Detection.- Explainable AI/Social Impact of AI.- Graph Neural Networks/Constraint Programming.- IoT/Fuzzy Modeling/Augmented Reality.- LEARNING (Active-AutoEncoders-Federated).- Machine Learning.- Natural Language.- Optimization-Genetic Programming.- Robotics.- Spiking NN.- and Text Mining /Transfer Learning.

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Book SynopsisThis book contains the refereed proceedings of two long-running events held along with the CAiSE conference relating to the areas of enterprise, business-process and information systems modeling: * the 24th International Conference on Business Process Modeling, Development and Support, BPMDS 2023, and * the 28th International Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2023. The conferences were taking place in Zaragoza, Spain, during June 12-13, 2023. For BPMDS 9 full papers and 2 short papers were carefully reviewed and selected for publication from a total of 26 submissions; for EMMSAD 9 full papers and 3 short papers were accepted from 26 submissions after thorough reviews. The BPMDS papers deal with a broad range of theoretical and applications-based research in business process modeling, development and support. EMMSAD focusses on modeling methods for systems analysis and development. Table of ContentsBPMDS 2023.- Just Tell Me: Prompt Engineering in Business Process Management.- Reinforcement Learning-supported AB Testing of Business Process Improvements: An Industry Perspective.- Modelling and Execution of Data-Driven Processes with JSON-Nets.- Aligning object-centric event logs with data-centric conceptual models.- From Network Traffic Data to a business-level Event Log.- A Novel Decision Mining Method Considering Multiple Model Paths.- Modeling, Executing and Monitoring IoT-Driven Business Rules.- A Generic Approach towards Location-aware Business Process Execution.- Time-aware Contract Model for Legal Smart Contracts.- Efficient Computation of Behavioral Changes in Declarative Process Models Nicolai Schützenmeier.- Beyond Temporal Dependency: An Ontology-Based Approach to Modeling Causal Structures in Business Processes.- EMMSAD 2023.- Principles of universal conceptual modeling.- Supporting Method Creation, Adaptation and Execution with a Low-code Approach.- IAT/ML: A Domain-Specific Approach for Discourse Analysis and Processing.- A First Validation of the Enterprise Architecture Debts Concept.- Modeling heterogeneous IT infrastructures: a collaborative component-oriented approach.- Exploring Capability Mapping as a Tool for Digital Transformation: insights from a Case Study.- TEC-MAP: a Taxonomy of Evaluation Criteria for Multi-Modeling Approaches.- Integrating Physical, Digital, and Virtual Modeling Environments in a Collaborative Design Thinking Tool.- Opportunities in Robotic Process Automation by and for Model-Driven Software Engineering.- A Requirements-Driven Framework for Automatic Data Visualization.- Comparing different visualizations for feedback on test execution in a Model-Driven Engineering environment.- Unblocking Inductive Miner - While Preserving Desirable Properties.

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Book SynopsisThis book constitutes the refereed proceedings of the 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, held in Portoroz, Slovenia, in June12–15, 2023.The 23 full papers and 21 short papers presented together with 3 demonstration papers were selected from 108 submissions. The papers are grouped in topical sections on: machine learning and deep learning; explainability and transfer learning; natural language processing; image analysis and signal analysis; data analysis and statistical models; knowledge representation and decision support.Table of Contents​Machine Learning and Deep Learning.- Survival Hierarchical Agglomerative Clustering: A Semi-Supervised Clustering Method Incorporating Survival Data.- Boosted Random Forests for Predicting Treatment Failure of Chemotherapy Regimens.- A Binning Approach for Predicting Long-Term Prognosis in Multiple Sclerosis.- Decision Tree Approaches to Select High Risk Patients for Lung Cancer Screening based on the UK Primary Care Data.- Causal Discovery with Missing Data in a Multicentric Clinical Study.- Novel approach for phenotyping based on diverse top-k subgroup lists.- Patient Event Sequences for Predicting Hospitalization Length of Stay.- Autoencoder-based prediction of ICU clinical codes.- Explainability and Transfer Learning.- Hospital Length of Stay Prediction Based on Multi-modal Data towards Trustworthy Human-AI Collaboration in Radiomics.- Explainable Artificial Intelligence for Cytological Image Analysis.- Federated Learning to Improve Counterfactual Explanations for Sepsis Treatment Prediction.- Explainable AI for Medical Event Prediction for Heart Failure Patients.- Adversarial Robustness and Feature Impact Analysis for Driver Drowsiness Detection.- Computational Evaluation of Model-Agnostic Explainable AI using Local Feature Importance in Healthcare.- Batch Integrated Gradients: Explanations for Temporal Electronic Health Records.- Improving stroke trace classification explainability through counterexamples.- Spatial Knowledge Transfer with Deep Adaptation Network for Predicting Hospital Readmission.- Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis.- Natural Language Processing.- A Rule-free Approach for Cardiological Registry Filling from Italian Clinical Notes with Question Answering Transformers.- Classification of Fall Types in Parkinson Disease From Self-report Data Using Natural Language Processing.- BERT for complex systematic review screening to support the future of medical research.- GGTWEAK: Gene Tagging with Weak Supervision for German Clinical Text.- Soft-prompt tuning to predict lung cancer using primary care free-text Dutch medical notes.- Machine learning models for automatic Gene Ontology annotation of biological texts.- Image Analysis and Signal Analysis.- A Robust BKSVD Method for Blind Color Deconvolution and Blood Detection on H&E Histological Images.- Can knowledge transfer techniques compensate for the limited myocardial infarction data by leveraging hemodynamics? An in silico Study.- Covid-19 Diagnosis In 3D Chest CT Scans With Attention-Based Models.- Generalized Deep Learning-based Proximal Gradient Descent for MR Reconstruction.- Crowdsourcing segmentation of histopathological images using annotations provided by medical students.- Automatic sleep stage classification on EEG signals using time-frequency representation.- Learning EKG Diagnostic Models with Hierarchical Class Label Dependencies.- Discriminant audio properties in deep learning based respiratory insufficiency detection in Brazilian Portuguese.- ECGAN: Self-supervised generative adversarial network for electrocardiography.- Data Analysis and Statistical Models.- Nation-wide ePrescription Data Reveals Landscape of Physicians and their Drug Prescribing Patterns in Slovenia.- Machine Learning Based Prediction of Incident Cases of Crohn’s Disease Using Electronic Health Records from a Large Integrated Health System.- Prognostic prediction of paediatric DHF in two hospitals in Thailand.- The Impact of Bias on Drift Detection in AI Health Software.- A Topological Data Analysis Framework for Computational Phenotyping.- Ranking of Survival-Related Gene Sets through Integration of Single-Sample Gene Set Enrichment and Survival Analysis.- Knowledge Representation and Decision Support.- Supporting the prediction of AKI evolution through interval-based approximate temporal functional dependencies.- Integrating Ontological Knowledge with Probability Data to Aid Diagnosis in Radiology.- Ontology model for supporting process mining on healthcare-related data.- Real-World Evidence Inclusion in Guideline-Based Clinical Decision Support Systems: Breast Cancer Use Case.- Decentralized Web-based Clinical Decision Support using Semantic GLEAN Workflows.- An Interactive Dashboard for Patient Monitoring and Management: a Support Tool to the Continuity of Care Centre.- A general-purpose AI assistant embedded in an open-source radiology information system.- Management of patient and physician preferences and explanations for participatory evaluation of treatment with an ethical seal.

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Book SynopsisThis book constitutes the refereed proceedings of the 28th International Conference on Applications of Natural Language to Information Systems, NLDB 2023, held in Derby, UK, in June 21–23, 2023The 31 full papers and 14 short papers included in this book were carefully reviewed and selected from 89 submissions. They focus on the developments of the application of natural language to databases and information systems in the wider meaning of the term.Table of ContentsLarge Language Models in the Workplace: A Case Study on Prompt Engineering for Job Type Classification.- How Challenging is Multimodal Irony Detection?.- Less is more: A Prototypical Framework for Efficient Few-Shot Named Entity Recognition.- Don’t Lose the Message while Paraphrasing: A Study on Content Preserving Style Transfer.- A Review of Parallel Corpora for Automatic Text Simplification. Key Challenges Moving Forward.- Explaining a Deep Learning Model for Aspect-Based Sentiment Classification Using Post-hoc Local Classifiers.- Arabic Privacy Policy Corpus and Classification.- SmartEDU: Accelerating Slide Deck Production with Natural Language Processing.- Explainable Integration of Knowledge Graphs using Large Language Models.- Cross-domain and cross-language irony detection: The impact of bias on models’ generalization.- Prompt and Instruction-Based Tuning for Response Generation in Conversational Question Answering.- IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran.- Comparing object recognition models and studying hyperparameter selection for the detection of bolts.- Morphosyntactic Evaluation for Text Summarization in Morphologically Rich Languages: A Case Study for Turkish.- Building Knowledge Graphs in Heliophysics and Astrophysics.- Text to Image Synthesis Using Bridge Generative Adversarial Network and Char CNN Model.- Evaluation of transformer-based models for punctuation and capitalization restoration in Spanish and Portuguese.- Sentence-to-Label Generation Framework for Multi-task Learning of Japanese Sentence Classification and Named Entity Recognition.- Could KeyWord Masking strategy improve language model?.- Regularization, Semi-supervision, and Supervision for a Plausible Attention-Based Explanation.- Node-Weighted Centrality Ranking for Unsupervised Long Document Summarization.- Characterization of the city of the future from a science fiction corpus.- On the Rule-based Extraction of Statistics Reported in Scientific Papers.- GRAM: Grammar-Based Refined-Label Representing Mechanism in the Hierarchical Semantic Parsing Task.- Expanding Domain-specific Knowledge Graphs with Unknown Facts .- Knowledge Graph Representation Learning via Generated Descriptions.- LonXplain: Lonesomeness as a Consequence of Mental Disturbance in Reddit Posts.- A Comparative Study of Evaluation Metrics for Long-Document Financial Narrative Summarization with Transformers.- Effective Information Retrieval, Question Answering and Abstractive Summarization on Large-scale Biomedical Document Corpora.- Abstractive Summarization Based Question-Answer System for Structural Information.- Adversarial Capsule Networks for Romanian Satire Detection and Sentiment Analysis.- A Few-shot Approach to Resume Information Extraction via Prompts.- Decoding Strategies for Code Conciseness and Efficiency in Transformer-Generated Programs.- SP-BERT: A Language Model for Political Text in Scandinavian Languages.- Improving Context-Awareness on Multi-Turn Dialogue Modeling with Extractive Summarization Techniques.- Document Knowledge Transfer for Aspect-Based Sentiment Classification Using a Left-Center-Right Separated Neural Network with Rotatory Attention.- Argument and counter-argument generation: a critical survey.- Novel Benchmark Data Set for Automatic Error Detection and Correction.- Weakly-Supervised Multimodal Learning for Predicting the Gender of Twitter Users.- Cross-Domain Toxic Spans Detection.- How shall a machine call a thing?.- Detecting Artificially Generated Academic Text: the Importance of Mimicking Human Utilization of Large Language Models.- Leveraging Small-BERT and Bio-BERT for Abbreviation Identification in Scientific Text.- RoBERTweet: A BERT Language Model for Romanian Tweets.- Evaluating the Effect of Letter Case on Named Entity Recognition Performance.

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Book SynopsisThis book constitutes the refereed proceedings of the 16th International Conference on Blended Learning, ICBL 2023, held in Hong Kong, China, on July 17-20, 2023. The 24 papers presented in this volume were carefully reviewed and selected from 57 submissions. The papers are organized in topical sections named: smart classroom and digital literacy; online and distant learning; content and pedagogy development for blended learning; gamification and interactive learning environment; learning analytics and big data in education.Table of ContentsKeynotes.- Teachers’ readiness for adopting online merge offline learning in digital.- Agile-blended Learning as a Metropolitan Teaching Approach.- Collaborative approaches to research-informed practice in tertiary education.- The power of rotation: Investigating the impact of the RST model on students' deep Learning.- Smart Classroom and Digital Literacy.- Investigating the Influence of Seating Factors on Perception of the Learning Environment in Smart Classroom.- Study on the influencing factors of junior high school students’ learning engagement under the smart classroom environment.- Integrating Digital Citizenship into a Primary School Course “Ethics and the Rule of Law”: Necessity, Strategies and a Pilot Study.- From ICT Utilization to Student Learning Achievement: Mediation Effects of Digital Literacy and Problem- solving Ability.- Online and Distant Learning.- The Effect of Corpus-based Writing Practices on EFL learners' Lexical Diversity and Lexical Sophistication.- On the Reflection of Online Distance Instruction into Blended Teaching and Learning.- Camera shy in online synchronous class: A qualitative study in college students.- Investigating Demographics and Behavioral Engagement Associated with Online Learning Performance.- Content and Pedagogy Development for Blended Learning.- Content Development of 'Literary Tourism' within Blended Learning Concept – Case Study.- Using WPBL to Improve Engineering Undergraduates’ Computational Thinking Performance in Flipped Classroom.- Cultivating Students’ Creative Thinking Using Visual Narrative in an Agile Blended Learning Environment.- Key Complexities Inhibiting Design and Implementation of Adaptive-Inclusive Learning Environments.- Gamification and Interactive Learning Environment.- Research on the Practice of VR Entering the Classroom – Taking City University Students of Macau as an Example.- How Can Teachers Facilitate Computer-Supported Collaborative Learning? A Literature Review of Teacher Intervention in CSCL.- Assessing Secondary Students’ Digital Literacy Using an Evidence-Centered Game Design Approach.- Museum Blended Learning through Digital Learning Platform: The Case of Smithsonian Learning Lab.- Learning Analytics and Big Data in Education.- Research on Dynamic Learning Intervention Driven by Data.- Predictive analytics for university student admission: A literature review.- Construction and Implementation of the Data-driven Flexible Teaching Model of University Courses.- Design and Effect of Guided and Adaptive Tutoring Tips for Helping School Mathematics Problems Solving.

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Book SynopsisThis book constitutes selected papers presented during the First International Conference on Digitization in Education, MoStart 2023, held in Mostar, Bosnia and Herzegovina, in April 2023.The 12 presented papers were thoroughly reviewed and selected from the 30 submissions. The proceedings cover a diverse range of topics, including artificial intelligence and robotics in education, games and simulations, intelligent tutoring systems, augmented and virtual reality, natural language processing, computer vision, IoT and metaverse applications, learning analytics, deep learning, and ethical issues in AI applications in education and law.Table of ContentsEvaluating Text Summarization using FAHP and TOPSIS Methods in Intelligent Tutoring Systems.- Overview of Tools for Programming and Virtual Simulation of Robots within the STEM Teaching Process.- Evaluating LightGBM Classifie for Knowledge Tracing on EdNet Dataset.- POS-only tagging using RNN for Croatian Language.- Web scraping Fire Incidents and Assesement of Fire Impact - a Case study of Split and Dalmatia County fire.- Bichronous Online Learning During the COVID-19 Pandemic – A Case Study on Teaching the Teachers.- Artificial intelligence fuzzy logic expert system for prediction of bevel angle quality response in plasma jet manufacturing process.- Education: Opportunities and Challenges.- Artificia intelligence for knowledge visualization: An Overview.- Digital Tools and Pre-reading Skills.- Detecting academic fraud at online tests during COVID-19 using machine learning-based methods.- Changes in Legal Education in the Digital Society of Artificia Intelligence.

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Book SynopsisExpanding Austenland: The Pride and Prejudice Fanfiction Archive explores Jane Austen’s reception in popular culture through an exploration of the ever-expanding terrain of online fanfiction, professionally published (profic) texts, and other intertextual reworkings inspired by the author’s most popular novel, Pride and Prejudice. The book argues that given its pervasiveness, Pride and Prejudice could be usefully considered not as a single novel, but as an entire ‘archive’ of interrelated texts, or as a portal that opens a ‘virtual world’ for readers to expand and explore. By examining the Pride and Prejudice archive of interrelated texts, this book analyses the process through which an individual novel can develop a virtual life, or afterlife. The evolving world that is opened by Pride and Prejudice, and extended and enriched through fanfiction, is conceptualised in the monograph as ‘Austenland’.Table of Contents Chapter 1 ‘She stimulates us to supply what is not there’: Expanding Austen’s world through fanfiction Chapter 2 ‘Light and bright and sparkling’ – Pride and Prejudice and fairy tales Chapter 3 ‘You must allow me to tell you how ardently I admire and love you’ – Darcymania takes over Chapter 4 ‘An arrival in Austenland’: The virtual world of Pride and Prejudice Chapter 5 ‘Are the shades of Pemberley to be thus polluted?’ – Zombies and vampires invade Pride and Prejudice Chapter 6 ‘How differently did everything now appear’ – The Lizzie Bennet Diaries and transmedia storytelling Chapter 7 ‘There’s no one to touch Jane when you’re in a tight place’: Pride and Prejudice and the pandemic

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Book SynopsisThis book constitutes the proceedings of the 31st International Conference on Case-Based Reasoning Research and Development, ICCBR 2023, which took place in Aberdeen, UK, in July 2023. The 26 full papers included in this book were carefully reviewed and selected from 79 submissions. The papers have been organized in topical sections as follows: CBR and deep learning; representation and similarity; CBR and explainable AI; case base maintenance; adaptation: techniques and application; and case-based applications.Table of ContentsCBR and Deep Learning.- Examining the Impact of Network Architecture on Extracted Feature Quality for CBR.- Synergies between Case-based Reasoning and Deep Learning for Survival Analysis in Oncology.- CBR Assisted Context-Aware Surface Realisation for Data-to-Text Generation.- Representation and Similarity.- Explanation of Similarities in Process-Oriented Case-Based Reasoning by Visualization.- On-demand and model-driven case building based on distributed data sources.- The Case for Circularities in Case-Based Reasoning.- A Contextual Information-augmented Probabilistic Case-based Reasoning Model for Knowledge Graph Reasoning.- Case-based Sample Generation using Multi-Armed Bandits.- Hybrid Event Memory as a Case Base for State Estimation in Cognitive Agents.- CBR and Explainable AI Cases are King: A User Study of Case Presentation to Explain CBR Decisions.- CBR driven Interactive Explainable AI.- Selecting Explanation Methods for Intelligent IoT Systems: a Case-Based Reasoning Approach.- Case Based Explanation for Time Series Forecasting Models.- Case Base Maintenance.- Group Fairness in Case-Based Reasoning.- Addressing Underestimation Bias in CBR through Case-Base Maintenance.- The Problem Drift Problem and First Steps Towards Addressing It.- Adaptation: Techniques and Application Case-Based Adaptation of Argument Graphs with WordNet and Large Language Models.- Failure-Driven Transformational Case Reuse of Explanation Strategies in CloodCBR.- A Case-Based Approach for Workflow Flexibility by Deviation.- Lazy Adaptation Knowledge Learning based on Frequent Closed Itemsets.- Case-Based Applications.- An Overview and Comparison of Case-Based Reasoning Frameworks.- Case-Based Cleaning of Text Images.- A Multi-agent Case-based Reasoning Intrusion Detection System Prototype.- A Case-Based Reasoning Approach to Company Sector Classification Using a Novel Time-Series Case Representation.- An Integrated Approach to Predicting the Influence of Reputation Mechanisms on Q&A Communities.- Retrieval of similar cases to improve the diagnosis of diabetic retinopathy.

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Book SynopsisThis volume set constitutes the refereed proceedings of the 16th International Conference on Knowledge Science, Engineering and Management, KSEM 2023, which was held in Guangzhou, China, during August 16–18, 2023. The 114 full papers and 30 short papers included in this book were carefully reviewed and selected from 395 submissions. They were organized in topical sections as follows: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management systems; and emerging technologies for knowledge science, engineering and management. Table of ContentsKnowledge Management Systems.- Explainable Multi-type Item Recommendation System based on Knowledge Graph.- A 2D Entity Pair Tagging Scheme for Relation Triplet Extraction.- MVARN: Multi-view attention relation network for figure question answering.- MAGNN-GC: Multi-Head Attentive Graph Neural Networks with Global Context for Session-based Recommendation.- Chinese Relation Extraction with Bi-directional Context-based Lattice LSTM.- MA-TGNN: Multiple Aggregators Graph-Based Model for Text Classification.- Multi-Display Graph Attention Network for Text Classification.- Debiased Contrastive Loss for Collaborative Filtering.- ParaSum: Contrastive Paraphrasing for Low-resource Extractive Text Summarization.- Degree-aware embedding and Interactive feature fusion-based Graph Convolution Collaborative Filtering.- Hypergraph Enhanced Contrastive Learning for News Recommendation.- Reinforcement Learning-Based Recommendation with User Reviews on Knowledge Graphs.- A Session Recommendation Model based on Heterogeneous Graph Neural Network.- Dialogue State Tracking with a Dialogue-aware Slot-Level Schema Graph Approach.- FedDroidADP: An Adaptive Privacy-Preserving Framework for Federated-Learning-based Android Malware Classification System.- Multi-level and Multi-interest User Interest Modeling for News Recommendation.- CoMeta: Enhancing Meta Embeddings with Collaborative Information in Cold-start Problem of Recommendation.- A Graph Neural Network for Cross-Domain Recommendation Based on Transfer and Inter-Domain Contrastive Learning.- A Hypergraph Augmented and Information Supplementary Network for Session-based Recommendation.- Candidate-aware Attention Enhanced Graph Neural Network for News Recommendation.- Heavy Weighting for Potential Important Clauses.- Knowledge-Aware Two-Stream Decoding for Outline-Conditioned Chinese Story Generation.- Multi-Path based Self-Adaptive Cross-Lingual Summarization.- Temporal Repetition Counting Based on Multi-Stride Collaboration.- Multi-layer Attention Social Recommendation System based on Deep Reinforcement Learning.- SPOAHA: Spark program optimizer based on Artificial Hummingbird Algorithm.- TGKT-based Personalized Learning Path Recommendation with Reinforcement Learning.- Fusion High-Order information with Nonnegative Matrix Factorization Based Community Infomax for Community Detection.- Multi-task learning based skin segmentation.- User Feedback-based Counterfactual Data Augmentation for Sequential Recommendation.- Citation Recommendation Based on Knowledge Graph and Multi-task Learning.- A Pairing Enhancement Approach for Aspect Sentiment Triplet Extraction.- The Minimal Negated Model Semantics of Assumable Logic Programs.- MT-BICN: Multi-task Balanced Information Cascade Network for Recommendation.

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Book SynopsisThis volume set constitutes the refereed proceedings of the 16th International Conference on Knowledge Science, Engineering and Management, KSEM 2023, which was held in Guangzhou, China, during August 16–18, 2023. The 114 full papers and 30 short papers included in this book were carefully reviewed and selected from 395 submissions. They were organized in topical sections as follows: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management systems; and emerging technologies for knowledge science, engineering and management. Table of ContentsEmerging technologies for Knowledge science, engineering and management.- Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering.- Advancing Domain Adaptation of BERT by Learning Domain Term Semantics.- Deep Reinforcement Learning for Group-Aware Robot Navigation in Crowds.- An Enhanced Distributed Algorithm for Area Skyline Computation based on Apache Spark.- TCMCoRep: Traditional Chinese Medicine data mining with Contrastive Graph Representation Learning.- Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models.- PRACM: Predictive Rewards for Actor-Critic with Mixing Function in Multi-Agent Reinforcement Learning.- A Cybersecurity Knowledge Graph Completion Method for Scalable Scenarios.- Research on remote sensing image classification based on Transfer learning and Data Augmentation.- Multivariate Long-Term Traffic Forecasting with Graph Convolutional Network and Historical Attention Mechanism.- Multi-hop Reading Comprehension Learning Method Based on Answer Contrastive Learning.- Importance-based Neuron Selective Distillation for Interference Mitigation in Multilingual Neural Machine Translation.- Are GPT Embeddings Useful for Ads and Recommendation?.- Modal interaction-enhanced Prompt Learning by transformer decoder for Vision-Language Models.- Unveiling Cybersecurity Threats from Online Chat Groups: A Triple Extraction Approach.- KSRL: Knowledge Selection based Reinforcement Learning for Knowledge-Grounded Dialogue.- Prototype-Augmented Contrastive Learning for Few-shot Unsupervised Domain Adaptation.- Style Augmentation and Domain-aware Parametric Contrastive Learning for Domain Generalization.- Recent Progress on Text Summarisation Based on BERT and GPT.- Ensemble Strategy Based on Deep Reinforcement Learning for Portfolio Optimization.- A Legal Multi-Choice Question Answering Model Based on BERT and Attention.- Offline Reinforcement Learning with Diffusion-Based Behavior Cloning Term.- Evolutionary Verbalizer Search for Prompt-based Few Shot Text Classification.- Graph Contrastive Learning Method with Sample Disparity Constraint and Feature Structure Graph for Node Classification.- Learning Category Discriminability for Active Domain Adaptation.- Multi-Level Contrastive Learning for Commonsense Question Answering.- Efficient Hash Coding for Image Retrieval based on Improved Center Generation and Contrastive Pre-training Knowledge Model.- Univarite Time Series Forecasting via Interactive Learning.- Task Inference for Offline Meta Reinforcement Learning via Latent Shared Knowledge.- A Quantitative Spectra Analysis Framework Combining Mixup and Band Attention for Predicting Soluble Solid Content of Blueberries.- Contextualized Hybrid Prompt-Tuning for Generation-Based Event Extraction.- udPINNs: An Enhanced PDE Solving Algorithm Incorporating Domain of Dependence Knowledge.- Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning.- A Reinforcement Learning-based Approach for Continuous Knowledge Graph Construction.- A Multifactorial Evolutionary Algorithm based on Model Knowledge Transfer.- Knowledge Leadership, AI Technology Adoption and Big Data Application Ability.- RFLSem: A lightweight model for textual sentiment analysis.

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Book SynopsisThis book constitutes the refereed proceedings of the 7th International Joint Conference on Rules and Reasoning, RuleML+RR 2023, held in Oslo, Norway, during September 18–20, 2023. The 13 full papers and 3 short papers included in these proceedings were carefully reviewed and selected from 46 submissions. They focus on all aspects of theoretical advances; novel technologies; innovative applications; knowledge representation; reasoning with rules; and research, development, applications of rule-based systems. Table of ContentsPapers.- Extension of Regression Tsetlin Machine for Interpretable Uncertainty Assessment.- GUCON: A Generic Graph Pattern based Policy Framework for Usage Control Enforcement.- Combining Proofs for Description Logic and Concrete Domain Reasoning.- Notation3 as an Existential Rule Language.- Fine-tuning Large Enterprise Language Models via Ontological Reasoning.- Layerwise Learning of Mixed Conjunctive and Disjunctive Rule Sets.- Analyzing Termination for Prev-Aware Fragments of Communicating Datalog Programs.- Marrying Query Rewriting and Knowledge Graph Embeddings.- Lore: Educational Deductive Database System.- Comparing State of the Art Rule-Based Tools for Information Extraction.- A Case Study for Declarative Pattern Mining in Digital Forensics.- Semantic Role Assisted Natural Language Rule Formalization for Intelligent Vehicle.- FreeCHR: An Algebraic Framework for CHR-Embeddings.- Explaining the optimal trajectories.- Abstract Domains for Database Manipulating Processes.- Extracting Interpretable Hierarchical Rules from Deep Neural Networks’ Latent Space.

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Book SynopsisThis two-volume set LNCS 14383 and LNCS 14384 constitutes the refereed proceedings of the 16th International Conference on Interactive Digital Storytelling, ICIDS 2023, held in Kobe, Japan, during November 11–15, 2023. The 30 full papers presented in this book together with 11 short papers were carefully reviewed and selected from 101 submissions. Additionally, the proceedings includes 22 Late Breaking Works. The papers focus on topics such as: theory, history and foundations; social and cultural contexts; tools and systems; interactive narrative design; virtual worlds, performance, games and play; applications and case studies; and late breaking works.Table of ContentsTheory, History and Foundations.- Interpretation as Play: A Cognitive Psychological Model of Inference and Situation Model Construction.- When has theory ever failed us?.- A Refinement-Based Narrative Model for Escape Games.- Social and Cultural Contexts.- IDNs in Education: Skills for Future Generations.- Centering the Human: Digital Humanism and the Practice of Using Generative AI in the Authoring of Interactive Digital Narratives.- Digital storytelling in women in tech communities.- VR storytelling to prime uncertainty avoidance.- Inclusive Digital Storytelling: Artificial Intelligence and Augmented Reality to re-centre Stories from the Margins.- Decolonizing IDN pedagogy from and with Global South:a a cross-cultural case study.- Fighting Against Hate Speech: a case for harnessing Interactive Digital Counter-narratives.- VR for Diversity. The Seven Lives of a Research Project.- Tools and Systems.- Awash: Prospective Story Sifting Intervention for Emergent Narrative.- Prompt Engineering for Narrative Choice Generation.- The Narralive Unity plug-in: Towards bridging the gap between intuitive branching narrative design and advanced visual novel development.- Interactive Narrative Design.- Discovering IDN Authoring Strategies: Novices Anchor Choice Design through Character Development With Player Feedback.- On the Interactions Between Narrative Puzzles and Navigation Aids in Open World Games.- Lovecraftian Horror in Story-Driven Games: Narrative Design Challenges and Solutions.- Designing Sisters: Creating Audio-Based Narratives to Generate Affective Connections and Material Story Worlds.- Bookwander: From Printed Fiction to Virtual Reality – Four Design Approaches for Enhanced VR Reading Experiences.- Story-without-end: a structure for open-world cinematic VR.- Integrating Narrative Design into the World Economic Forum’s Transformation Maps for Enhance Complexity Comprehension.- Full-Motion Video as Parameterized Replay Stories: Emerging Design Patterns from the Timeline Authoring Platform.- From Playing the Story to Gaming the System: Repeat Experiences of a Large Language Model-based Interactive Story-. A Board Game Hootopia: Biodiversity Education through Tangible and Interactive Narrative.

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Book SynopsisThis book constitutes the refereed proceedings of the 5th Multidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2023, which was held in Amsterdam, The Netherlands, during November 21–22, 2023.The 13 full papers presented in this book were carefully reviewed and selected from 19 submissions. The papers focus on misinformation, disinformation, hate speech, disinformation campaigns, social network analysis, large language models, generative AI, and multi-modal embeddings.Table of ContentsGenerative AI for Explainable Automated Fact Checking on the FactEx: a New Benchmark Dataset.- Multi-Modal Embeddings for Isolating Cross-Platform Coordinated Information Campaigns on Social Media.- faKy: A Feature Extraction Library to Detect the Truthfulness of a Text.- From sharing misinformation to debunking it: How Coordinated Image Text Sharing Behaviour is used in political campaigns on Facebook.- The Information Disorder Level (IDL) Index: A Human-Based Metric to Assess the Factuality of Machine-Generated Content.- Lost in Transformation: Rediscovering LLM-generated Campaigns in Social Media.- The Effect of Misinformation Intervention: Evidence from Trump’s Tweets and the 2020 Election.- Coordinated Information Campaigns on Social Media: A Multifaceted Framework for Detection and Analysis.- Unveiling Truth Amidst the Pandemic: Multimodal Detection of COVID-19 Unreliable News.- Holistic Analysis of Organised Misinformation Activity in Social Networks.- Towards Multimodal Campaign Detection: Including Image Information in Stream Clustering to Detect Social Media Campaigns.- ChatGPT as a commenter to the news: can LLMs generate human-like opinions?.- Is foreign language news more or less credible than native language news? Examining the foreign language effect on credibility perceptions.

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Book SynopsisThis book offers a comprehensive guide to the world of metadata, from its origins in the ancient cities of the Middle East, to the Semantic Web of today. The author takes us on a journey through the centuries-old history of metadata up to the modern world of crowdsourcing and Google, showing how metadata works and what it is made of. The author explores how it has been used ideologically and how it can never be objective. He argues how central it is to human cultures and the way they develop. Metadata: Shaping Knowledge from Antiquity to the Semantic Web is for all readers with an interest in how we humans organize our knowledge and why this is important. It is suitable for those new to the subject as well as those know its basics. It also makes an excellent introduction for students of information science and librarianship. Trade Review“In Metadata: Shaping Knowledge from Antiquity to the Semantic Web, Gartner, the digital librarian at the Warburg Institute at the University of London, thoroughly covers not only the history of metadata, but how it affects and forms knowledge and culture. … The author concludes the work with recent advances in metadata creation—metadata produced via Web 2.0, crowdsourcing, and folksonomies. This is a meticulous overview of metadata and its history and application. Summing Up: Recommended. Graduate students, faculty, and professionals.” (A. Hollister, Choice, Vol. 54 (9), May, 2017)“The book presents an enjoyable bird’s-eye view of metadata and related concepts, with outstanding examples accessible to non-experts. … I highly recommend the book.” (H. I. Kilov, Computing Reviews, May, 2017)“The book covers continuous evolution of metadata from the history of cataloguing to the modern forms … . This book will attract readers interested in metadata, the semantic web, metadata ontologies, digital libraries, and semantic retrieval. So, it is highly recommended to information professionals, digital librarians and students. The book is well structured and motivating. The results of Gartner’s effort are very much worth reading due to his librarianship perspective on metadata.” (Elaheh Hossseini, Information Research, informationr.net, Vol. 22 (1), March, 2017)“All of the usual elements of a book on metadata are present and correct … I would urge you to read this book if you are new to cataloguing or if you are old in cataloguing and world-weary about our professional mission. It’s a book to provoke your own thoughts, and quite possibly to give to your manager if you suspect they are unsure why metadata, why cataloguing and, therefore, why you and your team matter.” (Anne Welsh, Catalogue and Index, cilip.org.uk, Issue 186, March, 2017) “The book provides an overview of existing metadata approaches and standards such as MARC, Dublin Core, MIX and EAD. This book also offers a succinct history of metadata and discusses emerging metadata approaches. … This book can be read by both technical and non-technical people as it uses a rather accessible language. Metadata makes information finding easier. This is an excellent read and I highly recommend it to my colleagues and friends.” (Getaneh Alemu, Linkedin.com, January, 2017)“This slim volume aims to provide the reader with an overview of the history and development of metadata from the earliest times to the present day, and it offers a straightforward and readable account of metadata for the novice or the non-professional. … There is plenty here to intrigue and entertain for those wanting a lightweight introduction to the subject, at a very attractive price … .” (Vanda Broughton, Library & Information History, Vol. 33 (2), 2017)Table of ContentsWhat Metadata is and why it Matters.- Clay, Goats and Trees: Metadata before the Byte.- Metadata Becomes Digital.- Metadata as Ideology.- The Ontology of Metadata.- The Taxonomic Urge.- From Hierarchies to Networks.- Breaking the Silos.- Democratizing Metadata.- Knowledge and Uncertainty.

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Book SynopsisThis textbook provides a comprehensive and reader-friendly introduction to the field of computational social science (CSS). Presenting a unified treatment, the text examines in detail the four key methodological approaches of automated social information extraction, social network analysis, social complexity theory, and social simulation modeling. This updated new edition has been enhanced with numerous review questions and exercises to test what has been learned, deepen understanding through problem-solving, and to practice writing code to implement ideas. Topics and features: contains more than a thousand questions and exercises, together with a list of acronyms and a glossary; examines the similarities and differences between computers and social systems; presents a focus on automated information extraction; discusses the measurement, scientific laws, and generative theories of social complexity in CSS; reviews the methodology of social simulations, covering both variable- and object-oriented models.Trade Review“This book is organized in a rigorous manner: each chapter includes an introductory abstract, a short chronology of the main achievements related to the chapter’s topic, well-balanced formalized-intuitive knowledge content, a significant number of questions … and finally a list of future readings. … I think Claudio Cioffi-Revilla’s work hits its assumed target: to be an affordable textbook for students and, at the same time, a useful support manual for instructors interested in learning or teaching computational social science.” (Valentin V. Inceu, Computing Reviews, February, 2019)“This well-organized book provides a timely and comprehensive systematic introduction to CSS. The chapters are relatively independent. Therefore, readers may quickly grasp related information by reading chapters selectively. … this book is intended as a CSS textbook for graduate students … .” (Chenyi Hu, Computing Reviews, August 11, 2014) ​Table of ContentsIntroductionComputation and Social ScienceAutomated Information ExtractionSocial NetworksSocial Complexity I: Origins and MeasurementSocial Complexity II: LawsSocial Complexity III: TheoriesSimulations I: MethodologySimulations II: Variable-Oriented ModelsSimulations III: Object-Oriented Models

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Book SynopsisThis research monograph provides the means to learn the theory and practice of graph and network analysis using the Python programming language. The social network analysis techniques, included, will help readers to efficiently analyze social data from Twitter, Facebook, LiveJournal, GitHub and many others at three levels of depth: ego, group, and community. They will be able to analyse militant and revolutionary networks and candidate networks during elections. For instance, they will learn how the Ebola virus spread through communities. Practically, the book is suitable for courses on social network analysis in all disciplines that use social methodology. In the study of social networks, social network analysis makes an interesting interdisciplinary research area, where computer scientists and sociologists bring their competence to a level that will enable them to meet the challenges of this fast-developing field. Computer scientists have the knowledge to parse and process data while sociologists have the experience that is required for efficient data editing and interpretation. Social network analysis has successfully been applied in different fields such as health, cyber security, business, animal social networks, information retrieval, and communications. Table of ContentsTheoretical Concepts of Network Analysis.- Network Basics.- Graph Theory.- Social Networks.- Node-Level Analysis.- Group-Level Analysis.- Network-Level Analysis.- Information Diffusion in Social Networks.- Appendix A: Python Tutorial.- Appendix B: NetworkX Tutorial

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Book SynopsisThis unique collection synthesizes insights and evidence from innovators in consumer informatics and highlights the technical, behavioral, social, and policy issues driving digital health today and in the foreseeable future. Consumer Informatics and Digital Health presents the fundamentals of mobile health, reviews the evidence for consumer technology as a driver of health behavior change, and examines user experience and real-world technology design challenges and successes. Additionally, it identifies key considerations for successfully engaging consumers in their own care, considers the ethics of using personal health information in research, and outlines implications for health system redesign. The editors’ integrative systems approach heralds a future of technological advances tempered by best practices drawn from today’s critical policy goals of patient engagement, community health promotion, and health equity. Here’s the inside view of consumer health informatics and key digital fields that students and professionals will find inspiring, informative, and thought-provoking. Included among the topics:• Healthcare social media for consumer informatics• Understanding usability, accessibility, and human-centered design principles• Understanding the fundamentals of design for motivation and behavior change• Digital tools for parents: innovations in pediatric urgent care• Behavioral medicine and informatics in the cancer community• Content strategy: writing for health consumers on the web• Open science and the future of data analytics• Digital approaches to engage consumers in value-based purchasingConsumer Informatics and Digital Health takes an expansive view of the fields influencing consumer informatics and offers practical case-based guidance for a broad range of audiences, including students, educators, researchers, journalists, and policymakers interested in biomedical informatics, mobile health, information science, and population health. It has as much to offer readers in clinical fields such as medicine, nursing, and psychology as it does to those engaged in digital pursuits.Table of ContentsForewordSusanna Fox, Chief Technology Officer, US Department of Healthand Human Services Paul Tang, CMIO, Palo Alto Medical FoundationSECTION I: Domains of Consumer Informatics and Mobile Health 1. Promoting Consumer Engagement in Health and Health Care Margo Edmunds, VP for Evidence Generation and Translation, AcademyHealthThe opening chapter will define consumer informatics, describe the history of different branches of the field (e.g., virtual visits/telehealth, mobile health, and the e-patient movement), and provide a framework for evaluating and disseminating evidence about ways to improve the consumer experience and change health behaviors. 2. Increasing Consumer Engagement Through Social Media, Crowd-sourcing, and BeyondMandi Bishop, Health Plan Analytics Innovation Practice Lead, Dell This chapter will review the state of the art and new directions for online tools to engage consumers in health and health care, focusing on social media platforms, consumer-facing web portals, and emerging technologies from the quantified self movement.3. The Global Connected Health EcosystemJody Ranck, Gigaom ResearchThis chapter will review the development, state of the art, and new directions for mobile devices in global health. 4. Bridging the Gaps: New Approaches to Address Population Health Ned Calonge, President and CEO, The Colorado Trust This chapter will describe innovations in the use of online and mobile technologies to promote community health and health equity with diverse populations. SECTION II: A New Environment for Development and Design5. User-Centered Design Christopher Hass, SVP, Experience Design, Mad*PowThis chapter will lay out the fundamentals of user experience (UX) and user-centered design for the Web, including accessibility for people with disabilities. Case examples will be provided. 6. Usability and Utility Testing Christopher Hass, SVP, Experience Design, Mad*PowBuilding on Chapter 5, this chapter will provide practical guidance on applying the principles of user-centered design to ensure the quality of consumer-facing products and services. 7. Motivational Design and Persuasive Technology for Consumer LearningDustin Ditommaso, SVP of Behavior Change Design, Mad*Pow Motivational design is an approach to online learning that can be used to increase consumer engagement with content. Persuasive technology uses behavioral science to design systems that promote consumer behavior change similar to personal health coaching, and taking into account both health and technology literacy. This chapter will provide practical advice on using these approaches in the development of health content for consumers.8. New Directions and Techniques for "Big Data": The Promises and Risks John Mattison, CMIO and Assistant Medical Director, Kaiser Permanente Southern California (by interview)As used in this chapter, big data refers to the storage and analysis of sets of data, including health data, that are too large to process using typical software and analytics processes. As a source for discovery and breakthroughs in health care treatment, big data holds promise but it also presents risks and uncertainties about consumer privacy and security. This chapter will separate out the reality and hype and provide a technical reference for the chapters in Section IV on privacy and security. SECTION III: Content Development and Consumer-Generated Data9. Addressing Information Overload: Knowledge Management to Improve Person-Centered Care Erin Holve, Senior Director, AcademyHealthWith the explosion of consumer-relevant and consumer-generated health data, this chapter will describe ways to help consumers make the best use of information from a wide variety of sources. 10. Content Strategy: Writing for Health Consumers on the Web Carolyn Petersen, Senior Editor, mayoclinic.orgSeven out of ten visits to the Web are part of consumer searches for health information, but the quality, appropriateness, and accessibility of the information varies widely across different sites. This chapter will review evidence on the value of web information in consumer-driven health care and describe best practices for developing consumer-friendly web content. 11. Visualization for Comprehension, Engagement, and Healthcare ImprovementSuzanne Bakken, Professor of Biomedical Informatics and Alumni Professor, Columbia University School of Nursing This chapter will describe innovative methods to provide consumer-friendly content through visual means. It will be based on the author's work with electronic health records and self-reported information from residents of low-income communities in Northern Manhattan, New York City. 12. Consumer-Generated Data and Health Information ExchangePaul Fu, Jr., CMIO Harbor-UCLA Medical Center As the nation pursues the goal of population health, it is important for personal health information and consumer-generated data to be standardized, structured, and aggregated for health planning purposes by local health agencies. This chapter will address some of the important technical and governance issues involved in integrating individual health data into health information exchanges at the local and regional levels. 13. Engaging Consumers in Culturally Diverse CommunitiesJoy Davis, Kaiser Permanente Institute for Health Policy This chapter will provide examples of emerging best practices in culturally competent consumer engagement in a variety of clinical and community settings. 14. Aging in PlaceCharlotte Weaver, Board Director, VitalSims, LLCMany adults prefer to remain in their own homes as they get older. Technology-enabled supports for older adults and their caregivers are becoming increasingly important with the growing number of people managing chronic health conditions through self-care and home-based care. This chapter will review the key technologies, challenges, and opportunities for remotely generated patient data to improve the health of older adults. SECTION IV: POLICY AND REGULATORY ISSUES15. How Standards and Interoperability Support ConsumersKevin Larsen, Medical Director of Meaningful Use, Office of the National Coordinator for Health IT, HHSIncluding consumers in the free flow of health information is a policy priority, but it will require significant changes in culture and infrastructure. This chapter will provide a consumer-friendly primer on how federal requirements for meaningful use of health data are evolving to improve consumer access to personal health information. 16. The Role of HIPAA in Consumer Health Informatics Ann Waldo, Wittie Letsche & Waldo LLP and Doug Peddicord, Washington Health Strategies GroupThe Privacy Rule that governs health information transactions has not kept pace with consumer technology and the Web, and many providers believe HIPAA restricts data sharing with consumers and patients. This chapter provides a legal perspective on how HIPAA should be rewritten to allow the free flow of health information to consumers. 17. Building Consumer Trust Through Information SecurityBradley Malin, Health Information Privacy Laboratory, Vanderbilt University, and Fred Trotter, Co-author, Hacking Healthcare (by interview) Some consumers, such as those in the quantified self movement, openly share their personal health data, while others want to maintain personal privacy or are concerned about data breaches. This chapter provides some innovative perspectives on privacy technology that enables trust. 18. Using Consent to Improve Informedness John Wilbanks, Director of Consent to Research (CtR) Project at Sage Bionetworks (by interview)This chapter will address ethical issues in consumer informatics and online content, including quality assurance, privacy, and security concerns; consent and governance; and the important role consumer information plays in shared decision-making. If privacy concerns have slowed the progress of research, new approaches, such as a pool of freely available health and genomic data, could accelerate innovation. This chapter will describe the range of ethical perspectives on data sharing and propose a new approach.19. Consumer Expectations About PrivacyShane Harris, Senior Intelligence and National Security Correspondent, The Daily Beast Health care systems have lagged behind other industry sectors in developing secure information-sharing strategies. This chapter will describe the information technology infrastructure and implications for consumers to protect their personal information. Section V: Conclusions20. Back to the Future: Emerging Technology, Social, and Political Trends Affecting Consumer Informatics Margo Edmunds, Chris Hass, and Erin HolveThis final chapter will summarize technology, social, regulatory, and other trends and issues raised in the book, including the role of collaboration and citizen science for health delivery system reform and population health.

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Book Synopsis​Dieses Buch gibt einen Einblick in die vielfältigen Möglichkeiten, die die Zukunft des Handels bestimmen werden. Die Pandemie hat uns vor Augen geführt, dass – auf der einen Seite – die stationären Händler ihr Geschäftsmodell überprüfen und unverzüglich die Trends der Digitalisierung und Nachhaltigkeit integrieren müssen und – auf der anderen Seite – die Pure-Online-Händler zunehmend die Nähe zum Kunden suchen müssen. Beide Bewegungen werden zu neuen Geschäftsmodellen und Handelsformaten führen, die aus digitalen und stationären Elementen bestehen werden. Erfahrene Experten aus dem Handels- und Konsumumfeld geben dem Leser Denkanstöße, wie man sein Unternehmen zukunftsfähig gestalten kann. Neben anschaulichen Beispielen, pragmatischen Ideen und strategischen Anregungen werden auch Risiken und Chancen beleuchtet.Führungskräfte und Praktiker erhalten wertvolle Hinweise für die Neupositionierung des bestehenden Geschäftsmodells und die sinnvolle Kombination digitaler und stationärer Elemente. Der InhaltSmart Stores und Retail as a Service – Virtual- und Augmented-Reality-Technologien – Neue Formen des Bezahlens – Produktinformationen als innovativer Rohstoff der Digitalisierung – Direct to Consumer: Gefahren und Potentiale für Handel, Hersteller und Startups – Erfolgsfaktor Reparatur und Reparaturlogistik – Innovationen im Handel nutzen und schützen – Spezielle Verkaufstage: Black Friday & Co. – Herausforderung E-Food – Omnichannel-Logistik im Konsumgüterhandel – Taschengeld und Taschengeldgeschäfte im digitalisierten Handel – Kooperative Positionierungsmöglichkeiten für den Groß- und Fachhandel der Zukunft – Onlinehandel, Urbane Logistik und Nachhaltigkeit – Künstliche Intelligenz als Technologiesprung bei der Warenversorgung – Retourenmanagement: Quelle zur Steigerung der Kundenzufriedenheit – Informations-Tsunami im digitalisierten Handel – Embargos und Sanktionen: ein Minenfeld für den Digitalen HandelTable of ContentsState of the Art im Handel: Konsumentenwahrnehmung einer Verknüpfung von Off- und Online-Maßnahmen.- ​Innovationen im Handel.- Digitalisierung und Erfolg.- Immersive experiences in retail agglomerations.- Innovativer Check Out – Neue Form des Bezahlens.

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Book SynopsisIn der Automotive-Branche ist eine schnell agierende und perfekt abgestimmte Supply Chain ein entscheidender Vorteil gegenüber dem Wettbewerb. Durch die Implementierung der Blockchain-Technologie lässt sich die Geschwindigkeits- und Transparenzerhöhung gewährleisten. Dieses essentiell simuliert eine Supply Chain an verschiedenen Instanzen, in der die Blockchain exemplarisch genutzt wird und dadurch die Supply-Chain-Abläufe automatisiert werden.

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Book SynopsisIn zehn Kapiteln vermittelt dieses Fachbuch den Weg zu einem Onlineshop und der Autor stellt den Wachstumsmarkt E-Commerce vor.Neben der Entwicklung eines schlüssigen Konzepts, der Auswahl der Technologie, Klärung der Fragen zur Usability und zur Rechtsgrundlage, wird auch die praktische Umsetzung wie Versandabwicklung oder Marketing behandelt. Dabei wird auf jeden Schritt umfassend eingegangen, um so ein tiefes Bewusstsein für Anforderungen und notwendige Durchführungsschritte zu schaffen. Table of Contents

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Book SynopsisDieses Buch gibt einen ersten Einblick in die Grundlagen des Marketings, insbesondere des Konsumentenverhaltens und betrachtet anschließend, inwieweit sich der digitale Kontext speziell auf das Thema Konsumentenverhaltensforschung auswirkt. Im Fokus des Interesses steht dabei die Einstellungsforschung. Diese wird hinsichtlich ihrer Besonderheiten im Kontext der fortwährenden Digitalisierung aller Lebensbereiche betrachtet. Damit schafft es dieses Buch, neben einer Einführung in das Marketing und das Konsumentenverhalten, die beiden Themenkomplexe, digitaler Kontext und Konsumentenverhaltensforschung, gemeinsamen zu betrachten und Wechselwirkungen eingehend zu beschreiben. Es bietet wichtige Informationen, die für Praktiker ebenso relevant sind wie für Studierende und Lehrende.Table of ContentsAusgewählte Grundlagen des Marketings - Einführung in das Konsumentenverhalten - Digitale Transformation - Einstellungen in der digitalen Welt - Praxisprojekt: Wie verändert sich die Einstellung in Reaktion auf eWoM – Eine beispielhafte, empirische Erhebung - Cheat Sheet

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Book SynopsisDie Coronapandemie hat das Einkaufsverhalten und damit den Handel wesentlich beeinflusst. Die Erwartungen der Kundinnen und Kunden an ein nahtloses Omni-Channel-Angebot und einen entsprechenden Service steigen, was die Unternehmen vor zunehmende Herausforderungen stellt. Die Autorinnen und Autoren erläutern in zwölf Beiträgen, wie Geschäftsprozesse und Systeme auf Basis neuer Technologien aus der Perspektive der Kundschaft intelligent integriert und wie damit verbundene technische und organisatorische Herausforderungen bewältigt werden können. Sie beschäftigen sich mit aktuellen Veränderungen im Kaufverhalten − ob allgemein oder speziell im Zuge der Coronapandemie. Hier stehen u. a. die Regionalisierung des Einkaufverhaltens und die Förderung eines nachhaltigen Konsums im Fokus. Einen weiteren Themenschwerpunkt stellt die Anwendung und Akzeptanz neuer Technologien dar, u. a. virtueller Welten, digitaler Sprachassistenten und App-basierter Orientierungshilfen. Zudem werden Kundenanforderungen an den stationären Handel vor, während und nach der Coronapandemie erläutert. Table of ContentsTeil I Veränderungen im Kaufverhalten: 1. Auswirkungen der Coronapandemie auf das Cross-Border-E-Commerce-Kaufverhalten der Verbraucherinnen und Verbraucher.- 2. Chancen zur Wiederbelebung des innerstädtischen Handels in deutschen Klein- und Mittelzentren.- 3. Sortimentspolitische Gestaltungsbereiche zur Förderung eines nachhaltigen Konsumverhaltens.- 4. Potenziale und Herausforderungen von Omni-Channel-Strategien im Möbeleinzelhandel.- TEIL II - Anwendung neuer Technologien: 5. V-Commerce: Virtuelle Welten im Online-Shopping und wie wir mit ihnen umgehen sollten.- 6. Die Akzeptanz von neuen Technologien im stationären Einzelhandel am Beispiel von digitalen Sprachassistenten in der DIY-Branche.- 7. Ganz vorne mit dabei oder bereits hinten dran? Livestream-Shopping, seine Potenziale und die Situation in Deutschland.- 8. Nutzung App-basierter Orientierungshilfen im stationären Einzelhandel.- TEIL III - Kundenanforderungen an den stationären Handel: 9. Customer Expectations and Their Fulfilment in the German Food Retail Market Before and During the COVID-19 Pandemic.- 10. Beraten erlaubt, Berühren verboten – experimentelle Untersuchung des veränderten Konsumierendenverhaltens durch die Coronapandemie.- 11. Qualitative Untersuchung der Bedürfnisse von Generation Z und Golden Agern in Bezug auf das stationäre Einkaufen.- 12. Förderung der Customer Experience im stationären Bekleidungseinzelhandel trotz Hygieneauflagen.

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Book SynopsisThe two-volume set CCIS 1491 and 1492 constitutes the refereed post-conferenceproceedings of the 16th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2021, held in Xiangtan, China, November 26–28, 2021. The conference was held in a hybrid mode i.e. online and on-site in Xiangtan due to the COVID-19 crisis.The 65 revised full papers and 22 revised short papers were carefully reviewed and selected from 242 submissions. The papers are organized in the following topical sections:Volume I:Collaborative Mechanisms, Models, Approaches, Algorithms and Systems; Cooperative Evolutionary Computation and Human-like Intelligent Collaboration; Domain-Specific Collaborative Applications;Volume II: Crowd Intelligence and Crowd Cooperative Computing; Social Media and Online Communities.Table of ContentsCrowd Intelligence and Crowd Cooperative Computing.- Locally Linear Embedding Discriminant Feature Learning Model.- Cache Optimization based on Linear Regression and DAG Task Graph.- A University Portrait System Incorporating Academic Social Network.- Multi-objective Optimization Of Ticket Assignment Problem In Large Data Centers.- Joint Embedding Multiple Feature and Rule for Paper Recommendation.- Predicting Drug-Target Interactions Binding Affinity by Using Dual Updating Multi-Task Learning.- GRE: A GAT-based Relation Embedding Model of Knowledge Graph for Recommendation.- Locating Hidden Sources in Evolutionary Games Based on Fuzzy Cognitive Map.- Deep bug triage model based on multi-head self-attention mechanism.- Taxi Pick-up Area Recommendation via Integrating Spatio-temporal Contexts into XDeepFM.- Learning When to Communicate among Actors with Centralized Critic for Multi-agent System.- Social Media and Online Communities.- Academic text classification algorithm based on pre-trained model and keyword extraction.- ResConvE: Deeper Convolution-based Knowledge Graph Embeddings.- Extractive-Abstractive: A Two-Stage Model for Long Text Summarization.- A Random-walk-based Heterogeneous Attention Network for Community Detection.- Attributed Network Embedding based on Attributed-subgraph-based Random Walk for Community Detection.- Adaptive Seed Expansion Based on Composite Similarity for Community Detection in Attributed Networks.- MDN: Meta-transfer Learning Method for Fake News Detection.- Local Community Detection Algorithm Based on Core Area Expansion.- Federated Clique Percolation for Overlapping Community Detection on Attributed Networks.- A new academic conference information management system based on social network.- A Full Information Enhanced Question Answering System Based on Hierarchical Heterogeneous Crowd Intelligence Knowledge Graph.- Exploring the Content Sharing Practice across Social Network Sites.- An Improved Label Propagation Algorithm for Community Detection Fusing Temporal Attributes.- Understanding Scholar Social Networks: Taking SCHOLAT as An Example.- SCHOLAT Link Prediction: A Link Prediction Dataset Fusing Topology and Attribute Information.- A Graph Neural Network-based Approach for Predicting Second Rise of Information Diffusion on Social Networks.- HPEMed: Heterogeneous Network Pair Embedding for Medical Diagnosis.- MR-LGC: A Mobile Application Recommendation Based on Light Graph Convolution Networks.- Neural Matrix Decomposition Model Based on Scholars’ Influence.- DOCEM: A Domain-embedding-based Open-source Community Event Monitoring Model.- Diversified Concept Attention Method for Knowledge Tracing.- Self-auxiliary Hashing for Unsupervised Cross Modality Retrieval.- RCBERT An Approach with transfer learning for App reviews classification.- The Impact of COVID-19 on Online Games: Machine Learning and Difference-In-Difference.- Uncertain Graph Publishing of Social Networks for Objective Weighting of Nodes.- Federated Multi-label Propagation Based on Neighbor Node Influence for Community Detection on Attributed Networks.- AcaVis: A Visual Analytics Framework for Exploring Evolution of Dynamic Academic Networks.- Dynamic Information Diffiusion Model Based on Weighted Information Entropy.

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Book SynopsisThe book contains select proceedings of the 3rd International Conference on Data, Engineering, and Applications (IDEA 2021). It includes papers from experts in industry and academia that address state-of-the-art research in the areas of big data, data mining, machine learning, data science, and their associated learning systems and applications. This book will be a valuable reference guide for all graduate students, researchers, and scientists interested in exploring the potential of big data applications.Table of Contents1. Medical Assistance Chatbot using Deep Learning.- 2. Distortion Controlled Secure Reversible Data Hiding in H.264 videos.- 3. A Method for improving Efficiency and Security of FANET using Chaotic Black Hole Optimization based Routing (BHOR) Technique.- 4. Machine Learning Techniques for Intrusion Detection System: A Survey.- 5. Software Fault Detection by using Rider Optimization Algorithm (ROA) based Deep Neural Network (DNN).- 6. An Approach for Predicting Admissions in Post Graduate Program by using Machine Learning.- 7. A Survey on Various Representation Learning of Hypergraph for Unsupervised Feature Selection.- 8. A brief study of time series forecasting technique using linear regression, SVM, LSTM, ARIMA and SARIMA.- 9. Adoption of Blockchain Technology for Storage & Verification of Educational Documents.- 10. Obstacle Collision Prediction model for Path Planning Using Obstacle Trajectory Clustering.

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