Databases / Data management Books

Book SynopsisEconomic development, social sustainability, and environmental protection play a major role in terms of efforts for innovation, digitalization, business, and global development. Today, nations all over the world attempt to accomplish the United Nations Sustainable Development Goals and to ensure sustainable patterns. Combining empirical and theoretical information, this book demonstrates advanced initiatives and concrete examples from universities, research institutes, and companies, regarding cross-cutting issues in sustainable development of a wide range of fields. The major focus in the book is the promotion of quality of life, by means of a more sustainable food production, and improved food security. Additionally, the importance of digital technologies, business policy, social aspects, and corporate governance in ensuring sustainable regional development is studied. This book is a truly interdisciplinary publication, useful to scholars, social movements, practitioners, and members of governmental agencies and private companies.Table of ContentsForecasting Methods as a Tool for Strategic Planning of Sustainable Development of an Agrarian Enterprise.- Development of a Model for System Management of the Regional Entrepreneurial Ecosystem Factors.- Achieving Sustainable Growth of the Grain Product Subcomplex Production on the Basis of the Formation and Development of the Integrated Structures.- Designing a Model of Cryptosecurity of Information in the System of Countering the Spread of COVID-19.- Ensuring Economic Security and Sustainable Development of the Southern Region of Russia.- The Increase of Labour Efficiency and Innovative Regionalization in Russia.- The Development of Social and Industrial Infrastructure of the Agro-Industrial Complex as a Significant Indicator of the Sustainable Development of the Industry.- Informational and Analytical Support for the Sustainable Development of Agribusiness Enterprises.- Human capital development in rural areas from the standpoint of the Sustainable Development Goals (SDGs).

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Book SynopsisDieses Buch bietet einen Überblick über Data-Mining-Methoden, die durch Software veranschaulicht werden. Beim Wissensmanagement geht es um die Anwendung von menschlichem Wissen (Erkenntnistheorie) mit den technologischen Fortschritten unserer heutigen Gesellschaft (Computersysteme) und Big Data, sowohl bei der Datenerfassung als auch bei der Datenanalyse. Es gibt drei Arten von Analyseinstrumenten. Die deskriptive Analyse konzentriert sich auf Berichte über das, was passiert ist. Bei der prädiktiven Analyse werden statistische und/oder künstliche Intelligenz eingesetzt, um Vorhersagen treffen zu können. Dazu gehört auch die Modellierung von Klassifizierungen. Die diagnostische Analytik kann die Analyse von Sensoreingaben anwenden, um Kontrollsysteme automatisch zu steuern. Die präskriptive Analytik wendet quantitative Modelle an, um Systeme zu optimieren oder zumindest verbesserte Systeme zu identifizieren. Data Mining umfasst deskriptive und prädiktive Modellierung. Operations Research umfasst alle drei Bereiche. Dieses Buch konzentriert sich auf die deskriptive Analytik.Das Buch versucht, einfache Erklärungen und Demonstrationen einiger deskriptiver Werkzeuge zu liefern. Es bietet Beispiele für die Auswirkungen von Big Data und erweitert die Abdeckung von Assoziationsregeln und Clusteranalysen. Kapitel 1 gibt einen Überblick im Kontext des Wissensmanagements. Kapitel 2 erörtert einige grundlegende Softwareunterstützung für die Datenvisualisierung. Kapitel 3 befasst sich mit den Grundlagen der Warenkorbanalyse, und Kapitel 4 demonstriert die RFM-Modellierung, ein grundlegendes Marketing-Data-Mining-Tool. Kapitel 5 demonstriert das Assoziationsregel-Mining. Kapitel 6 befasst sich eingehender mit der Clusteranalyse. Kapitel 7 befasst sich mit der Link-Analyse. Die Modelle werden anhand geschäftsbezogener Daten demonstriert. Der Stil des Buches ist beschreibend und versucht zu erklären, wie die Methoden funktionieren, mit einigen Zitaten, aber ohne tiefgehende wissenschaftliche Referenzen. Die Datensätze und die Software wurden so ausgewählt, dass sie für jeden Leser, der über einen Computeranschluss verfügt, weithin verfügbar und zugänglich sind.Table of Contents

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Book SynopsisThis book constitutes the proceedings of the 4th Iberoamerican Conference and third Indo-American Conference on Knowledge Graphs and Semantic Web, KGSWC 2022, which took place in Madrid, Spain, in November 2022.The 22 full and 3 short research papers presented in this volume were carefully reviewed and selected from 63 submissions. The papers cover topics related to software and its engineering, software creation and management, Emerging technologies, Analysis and design of emerging devices and systems, Emerging tools and methodologies and others.Table of ContentsDBkWik++ - Multi Source Matching of Knowledge Graphs.- A Survey on Knowledge Graph-based Methods for Automated Driving.- Physicians’ Brain Digital Twin: Holistic Clinical & Biomedical Knowledge Graphs for Patient Safety and Value-Based Care to Prevent The Post-pandemic Healthcare Ecosystem Crisis.- Combining Ontology and Natural Language Processing methods for Prevention of Falls from Height.- Learning to Automatically Generating Genre-Specific Song Lyrics: A Comparative Study.- DLIME-Graphs: A DLIME Extension based on Triple Embedding for Graphs.- Edge-labelled graphs and property graphs - to the user, more similar than different.- Knowledge Graph supported machine parameterization for the injection moulding industry.- IPR: Integrative Policy Recommendation Framework based on Hybrid Semantics.- Convolutional Neural Networks applied to emotion analysis in texts: Experimentation from the Mexican context.- Proficient Annotation Recommendation in a Biomedical Content Authoring Environment.- DKMI: Diversification of Web Image Search using Knowledge Centric Machine Intelligence.- Does Wikidata Support Analogical Reasoning?.- Flexible Queries over Knowledge Graphs.- Knowledge Graphs for Community Detection in Textual Data.- Framework for Author Name Disambiguation in Scientific Papers Using an Ontological Approach and Deep Learning.- On contrasting and completing YAGO with GPT language models: an experiment for person-related attributes.- Easy and complex: new perspectives for metadata modeling using RDF-star and Named Graphs.- Multi-Aspect Sentiment Analysis using Domain Ontologies.- Popularity Driven Data Integration.- Methodology for Creating a Community Corpus using a Wikibase Knowledge Graph.- Understanding Human Activity Patterns in Smart Homes with Process Mining.- String Matching based Framework for Online Hindi Question Answering System.- Towards an ontological approach to business continuity assessment.- From Ontology to Knowledge Graph Trend: Ontology As Foundation Layer For Knowledge Graph.

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Book SynopsisThis open access book surveys the progress in addressing selected challenges related to the growth of big data in combination with increasingly complicated hardware. It emerged from a research program established by the German Research Foundation (DFG) as priority program SPP 1736 on Algorithmics for Big Data where researchers from theoretical computer science worked together with application experts in order to tackle problems in domains such as networking, genomics research, and information retrieval. Such domains are unthinkable without substantial hardware and software support, and these systems acquire, process, exchange, and store data at an exponential rate. The chapters of this volume summarize the results of projects realized within the program and survey-related work.This is an open access book.Table of ContentsAlgorithms for Large and Complex Networks Algorithms for Large-scale Network Analysis and the NetworKit Toolkit.- Generating Synthetic Graph Data from Random Network Models.- Sampling Efficiency for the Link Assessment Problem.- A Custom Hardware Architecture for the Link Assessment Problem.- Graph-based Methods for Rational Drug Design.- Recent Advances in Practical Data Reduction.- Skeleton-based Clustering by Quasi-Threshold Editing.- The Space Complexity of Undirected Graph Exploration.- Algorithms for Big Data and their Applications Scalable Cryptography.- Distributed Data Streams.- Energy-Efficient Scheduling.- The GENO Software Stack.- Laue Algorithms for Big Data Problems in de Novo Genome Assembly.- Scalable Text Index Construction. Big Data, Scalability, Algorithms, Applications, Graphs, Networks, Parallelism, Distributed, Memory Hierarchy, Algorithm Engineering, Network Analysis, Random Graphs, Graph Clustering, Data Streams, Cryptography, Energy Efficiency, Text Indices.

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Book SynopsisThis book constitutes the proceedings of the International Joint Conference on Rules and Reasoning, RuleML+RR 2022, held in Berlin, Germany, during September 26–28, 2022. This is the 6th conference of a new series, joining the efforts of two existing conference series, namely “RuleML” (International Web Rule Symposium) and “RR” (Web Reasoning and Rule Systems). The 18 full research papers presented in this book were carefully reviewed and selected from 54 submissions. The papers cover the following topics: answer set programming; foundations of nonmonotonic reasoning; datalog; queries over ontologies; proofs, error-tolerance, and rules; as well as agents and argumentation.Table of ContentsAnswer Set Programming.- Foundations of Nonmonotonic Reasoning.- Datalog.- Queries Over Ontologies.- Proofs, Error-tolerance, and Rules.- Agents and Argumentation.

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Book SynopsisThis book presents new trends to optimize e-Government in various contexts. It aims to highlight new methods and approaches that unveil the potential of data for public services. The book also illustrates how public services can be mathematically modeled with many case studies. Then, algorithms are proposed to optimize their functioning and to better contribute to the general interest, such as education, health care, safety, security, or culture. The book also focuses on protecting citizens' personal data and obtaining their explicit consent. The book is suitable for students and academics aiming to build up their background on the usage of data and algorithms through various techniques, including artificial intelligence. The book is used as a reference book for teaching a graduate course on e-Government, Process Modeling, or Artificial Intelligence. Besides its use in academia, this book is used by civil servants of every domain and citizens who aim to understand the ongoing modernization of public services.Table of ContentsConceptual Model and Data algorithm for Modernization of E-governance towards Sustainable E-Government Services.- E-School Initiatives that Instigated the Digital Transformation of Education: A Case Study according to SABER-ICT Framework.- New Architecture to facilitate the expansion of E-Government.- Struggling against tax fraud, a holistic approach using artificial intelligence.- e-Government and Green IT: the intersection point.- Machine Learning Technique for Predicting the Rural Citizens’ Trust on using E-Governance Health Care Applications during COVID-19.- Artificial Intelligence (AI) Use for e-Governance in Agriculture: Exploring the Bioeconomy Landscape.- Enhancing government actions against Covid-19 using computer science.- From paper to digital: e-government's evolution and pitfalls in Brazil.- The role of public libraries in improving public literacy through Twitter social media in Indonesia.

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Book SynopsisThis book constitutes selected and revised papers presented at the First International Conference on Electronic Governance with Emerging Technologies, EGETC 2022, held in Tampico, Mexico, in September 2022. The 15 full papers and 2 short papers presented were thoroughly reviewed and selected from the 54 submissions. This volume focuses on the recent developmentsin the domain of eGovernment and governance of digital organizations also aims to shed light on the emerging research trends and their applications. Table of ContentsDeep Learning based Obstructive Sleep Apnea Detection for e-health Applications.- Deep Learning and Sign language models based enhanced accessibility of e-governance services for speech and hearing-impaired.- A Blockchain Enabled Trusted Public Distribution Management System using Smart Contract.- Administration of Vaccine mechanism for COVID-19 using Blockchain.- Cyber Security Strategies While Safeguarding Information Systems in Public/Private Sectors.- The spatial relationships of meteorological data for Unmanned Aerial System Decision-Making Support.- HIAS: Hybrid Intelligence Approach for Soil Classification and Recommendation of Crops.- Education 5.0 Maturity Index: Concept and Prospects for Development.- Interpretability of AI systems in electronic governance to improve user trust and acceptance.- An automated stress recognition for digital healthcare: Towards e-governance.-Emergency supply chain management.- Public Budget Simulations with Machine Learning and Synthetic Data: Some Challenges and Lessons from The Mexican Case.- Open data hackathon as a tool for increased engagement of Generation Z: to hack or not to hack?.- Data Visualization Guide for Smart City Technologies.- A D eep Learning-based Mobile Chatbot Model for Crop Farmers.- Urban data: sources and targeted applications for urban planning indicators modelling.- Understanding KlimaDAO use and value: insights from an empirical analysis.

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Book SynopsisData science is a new field that touches on almost every domain of our lives, and thus it is taught in a variety of environments. Accordingly, the book is suitable for teachers and lecturers in all educational frameworks: K-12, academia and industry.This book aims at closing a significant gap in the literature on the pedagogy of data science. While there are many articles and white papers dealing with the curriculum of data science (i.e., what to teach?), the pedagogical aspect of the field (i.e., how to teach?) is almost neglected. At the same time, the importance of the pedagogical aspects of data science increases as more and more programs are currently open to a variety of people.This book provides a variety of pedagogical discussions and specific teaching methods and frameworks, as well as includes exercises, and guidelines related to many data science concepts (e.g., data thinking and the data science workflow), main machine learning algorithms and concepts (e.g., KNN, SVM, Neural Networks, performance metrics, confusion matrix, and biases) and data science professional topics (e.g., ethics, skills and research approach).Professor Orit Hazzan is a faculty member at the Technion’s Department of Education in Science and Technology since October 2000. Her research focuses on computer science, software engineering and data science education. Within this framework, she studies the cognitive and social processes on the individual, the team and the organization levels, in all kinds of organizations.Dr. Koby Mike is a Ph.D. graduate from the Technion's Department of Education in Science and Technology under the supervision of Professor Orit Hazzan. He continued his post-doc research on data science education at the Bar-Ilan University, and obtained a B.Sc. and an M.Sc. in Electrical Engineering from Tel Aviv University.Table of ContentsPart A - Overview of Data Science and Data Science Education1. Introductiona. How to use this bookb. Chapter overviews2. What is data science3. Introduction to data science educationa. Curriculum initiativesb. Data science education research4. Data science thinkinga. Computational thinkingb. Statistical thinkingc. Data thinkingd. Data literacyPart B - Challenges of Data Science Education5. The pedagogical challenge of data science education6. Data science education and the variety of learnersa. Data science as 21st century skillsb. Prerequisite knowledge for data sciencec. Data science for K-12d. Data science for undergraduatese. Data science for researchers: graduate studentsf. Data science for researchers: senior researchersg. Data science for industry7. The interdisciplinarity challengea. Multidisciplinarity, interdisciplinarity and transdisciplinarityb. Integration of the data domainc. Interdisciplinary pedagogyd. Interdisciplinary PCK (Pedagogical Content Knowledge)e. Interdisciplinary PBL (Project Based Learning)8. Data science skillsa. Professional skillsb. Soft skillsc. Research skillsPart C - Data science Teaching frameworks9. Teacher Preparation - the Method for Teaching Data Science course10. Data Science for Social Sciencea. Interdisciplinary CS1b. Machine learning for social science and digital humanities11. Conclusion

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Book SynopsisThis three-volume set, LNCS 13421, 13422 and 13423, constitutes the thoroughly refereed proceedings of the 6th International Joint Conference, APWeb-WAIM 2022, held in Nanjing, China, in August 2022.The 75 full papers presented together with 45 short papers, and 5 demonstration papers were carefully reviewed and selected from 297 submissions. The papers are organized around the following topics: Big Data Analytic and Management, Advanced database and web applications, Cloud Computing and Crowdsourcing, Data Mining, Graph Data and Social Networks, Information Extraction and Retrieval, Knowledge Graph, Machine Learning, Query processing and optimization, Recommender Systems, Security, privacy, and trust and Blockchain data management and applications, and Spatial and multi-media data.Table of ContentsResearch tracks. Big Data Analytic and Management.- Advanced database and web applications.- Cloud Computing and Crowdsourcing.- Data Mining.- Graph Data and Social Networks.- Information Extraction and Retrieval.- Knowledge Graph.- Machine Learning.- Query processing and optimization.- Recommender Systems.- Security, privacy, and trust& Blockchain data management and applications.- Spatial and multi-media data.- Demo papers.

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Book SynopsisThis book sheds light on the recent research directions in intelligent systems and their applications. It involves two main themes, including management information systems and advances in information security and networking. The discussion of the most recent designs, advancements, and modifications of intelligent systems, as well as their applications, is a key component of the chapters contributed to the aforementioned subjects.Table of ContentsKeys to Successful Product and Process Innovation through Soft TQM: An ANN Approach.- Big Data Techniques and internal control: An Evidence from Egypt.- What is stopping you from using mobile payment in Oman?.- Social Media Influencer Marketing: How Influencer Content help?.- Adoption Decision and Alleviation of Mobile Payment.- Blockchain Technology in Malaysian Estate Distribution: A Systematic Review.- An Overview of the Smart Grid attributes, Architecture and Components.- The Mobile Attacks under Internet of Things Networks.- An Overview of Blockchain-based IoT Architectures and Designs.- Modeling and Performance Evaluation of Solar Cells Using I-V curve Analysis.

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Book SynopsisThis book presents original contributions to the theories and practices of emerging Internet, data, and web technologies and their applicability in businesses, engineering, and academia. Internet has become the most proliferative platform for emerging large-scale computing paradigms. Among these, data and web technologies are two most prominent paradigms, in a variety of forms such as data centers, cloud computing, mobile cloud, mobile web services, and so on. These technologies altogether create a digital ecosystem whose corner stone is the data cycle, from capturing to processing, analysis, and visualization. The investigation of various research and development issues in this digital ecosystem is boosted by the ever-increasing needs of real-life applications, which are based on storing and processing large amounts of data.As a key feature, it addresses advances in the life-cycle exploitation of data generated from the digital ecosystem data technologies that create value for the knowledge and businesses toward a collective intelligence approach. Researchers, software developers, practitioners, and students interested in the field of data and web technologies find this book useful and a reference for their activity.Table of ContentsData Integration in Practice: Academic Finance Analytics Case Study.- Proposal of an Aquarium Design Support Virtual Reality System.- The Source Code Maintenance Time Classifications from Code Smell.- Evolution Analysis of R&D Jobs Based on Patents’ Technology Efficacy Labeling.- The Model of Improving the Quality of Government Financial Reporting.- Fuzzy Mean Clustering Analysis Based on Glutamic Acid Fermentation Failure.- Mustahik Micro Business Incubation in Poverty Alleviation.- Schemes for a Transient Eddy-current Problem On an Unbounded Area.- Zakat Management Model Based on ICT.- Teaching Method of Advanced Mathematics combining PAD Classroom with ADDIE Model.- A Kind of Online Game Addictive Treatment Model about Young Person.- Research on E-commerce Customer Value Segmentation Model Based on Network Behavior.- Blockchain Applications for Mobility-as-a-Service Ecosystem: A Survey.- Construction of a Fully Homomorphic Encryption Scheme with Shorter Ciphertext and its Implementation on the CUDA Platform.- Traffic-oriented Shellcode Detection Based on VSM.- Supply Chain Finance Mediates The Effect of Trust and Commitment on Supply Chain Effectiveness.

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Book SynopsisMost existing companies struggle currently because they lack the tools and strategies to move product departments into independent platforms that can be retrofitted to form dynamic new products based on consumer demands. This book provides managers and professionals with the necessary approaches for designing software and hardware architectures to support data platform organizations. Specifically, it demonstrates how to automate the decomposition of existing platforms into smaller parts that can be reused to form new variations. This task requires significant analysis and design methodologies and procedures to create an infrastructure based on data as opposed to products. These new knowledge bases allow data-centric professionals to pursue actions that can better predict and respond to the unexpected. Featuring case examples from companies such as Lego, FedEx, General Electric (GE), Pfizer, P&G and more, this book is appropriate for C-level executives engaged in the digital transformation of their firms; entrepreneurs of digital platform companies; and senior software engineers that need to design Internet of Things (IoT) devices and integrate them with block chain and multi-cloud architectures. In addition, this book is also useful for graduate-level coursework in data science.Table of ContentsAn Introduction to Data Dominance.- The Digital Data-Centric Enterprise: Case Studies.- The Product Strategy .- The Data Strategy .- Data: Organizing the Data Ecosystem.- Process: Building Digital Data-Centric Products.- Culture: Friction in Scaling the Product Portfolio .- Alignment: Data Strategy Management and Leadership.- Effects of Wireless Communications and IoT on Data Aggregation.- Blockchain Data Architecture.- Transforming Legacy Systems to Data Platforms.- Conclusion.

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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 SynopsisThis book constitutes selected papers presented during the two events: the First Forum, GranDGamesBR 2020, held in Recife, Brazil, in November 2020, and the Second Forum, GranDGamesBR 2021, held in Gramado, Brazi, in October 2021.The 12 papers presented were thoroughly reviewed and selected from 24 submissions. The topics included in this volume cover the following fields connected to games and entertainment computing: game design, educational games, games evaluation, game-based learning, player experience, human-computer interaction, games industry, business models, game software ecosystems, ethics, serious games, cyberdemocracy, emotional design, computer graphics, cognitive simulation, immersive entertainment, virtual/augmented/extended reality, gamification, and creative process.Table of ContentsChallenges in Evaluating Players’ Interaction with Digital Games.- The pursuit of fun in digital games: From the sandpit to the console and beyond.- Business Model for Indie Studios in Game Software Ecosystems.- Games as Mediating Platforms in an Open and Digital World.- Balancing Game Elements, Learning, and Emotions in Game Design.- Enhancing Students’ Learning Experience through Gamification: Perspectives and Challenges.- Ethics and Games, ethical games and ethics in game.- Challenges for XR in Games.- Stimulation of the Executive Functions Mediated by Digital Games: Current Challenges in the School Context.- Perceptual Analysis of Computer Graphics Characters in Digital Entertainment.- Nine Challenges for Immersive Entertainment.- Strategies to Promote Stakeholders’ Autonomy while Creating Educational Digital Games.

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Book SynopsisThis book presents innovative ideas, cutting-edge findings, and novel techniques, methods, and applications in a broad range of cybersecurity and cyberthreat intelligence areas. As our society becomes smarter, there is a corresponding need to secure our cyberfuture. The book describes approaches and findings that are of interest to business professionals and governments seeking to secure our data and underpin infrastructures, as well as to individual users.Table of ContentsTOPSIS Model Establishment in the Context of Internet Finance.- An Analysis of Internet Financial Risk Prevention Strategies from the Perspective of Network Security.- Prediction of Transaction Risk in Financial Market Based on Neural Network Model.- Intelligent Business Model Data Analysis Based on Particle Swarm Optimization.- Multi-dimensional Data Perception and Intelligent Analysis Framework Design of Management Information System.- Resource Transaction Management System Based on PageRank Algorithm.- Research on Intelligent Student Management Evaluation Information System Based on Data Mining Algorithm.- Purchasing Management System Based on Genetic Algorithm.- Credit Risk Prediction Model of Digital Rural Finance Based on PSO-SVM.- Cache High Availability Intelligent Stall Management System Based on Redis Sentinel Mechanism Architecture.- The Application of BIM Technology in the Construction of Project Construction Management Platform.- Innovation of Financing Mode for Small and Micro Enterprises on Digital Finance Technology Algorithm.- Coal Energy Management Estimation System Based on Artificial Intelligence Algorithm.- Establishment of Enterprise Management Information System Based on Big Data Information Technology.- Application Analysis of Intelligent Information Technology in Transaction Management System.- Design of Management Cloud Information System for Residential Buildings Based on High-Performance Computing and Face Recognition Technology.- Development of Student Management System Based on WeChat Public Platform.- Application of Artificial Intelligence Technology in Human Resource Delicacy Management System.- Application of Data Mining Technology (DMT) in Human Resources Assessment Management System.

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Book SynopsisThis book redefines the essence of the information society and the digital economy, offering a new approach to their management and organization based on big data. The novelty of the new approach is that it ensures the use of the advanced technological capabilities of the Fourth Industrial Revolution to accelerate socio-economic development. The success of the new approach is based on progressive social institutions and advanced big data technology. Theoretical issues, methodological developments, and the author’s applied recommendations are consistently presented in forty chapters distributed in five sections. The book contains cases that reveal the practical experience of the Eurasian Economic Union (EAEU). The intended readership of the book is scientists. The book is interesting and useful for them because it presents an innovative model of information society and digital economy development driven by big data. Table of ContentsTechnological and Institutional Framework for the Dissemination and Use of Big Data.- Big Data for the Digital Economy.- Application of Big Data in Digital Business by Sectors.- Cooperative Mechanism for the Dissemination and Use of Big Data in the Information Society.- Case Study on the Application of Big Data in the Digital Economy of the Eurasian Economic Union.

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Book SynopsisThis book constitutes the refereed post-conference proceedings the 14th TPC Technology Conference on Performance Evaluation and Benchmarking, TPCTC 2022, which was held in Sydney, NSW, Australia, on September 5, 2022.The 5 revised full papers presented were carefully selected from 12 submissions. The conference focuses on Pick and Mix Isolation Levels; Benchmarking considerations for Trustworthy and Responsible AI (Panel); Preliminary Scaling Characterization with TPCx-AI and New Initiatives. Table of ContentsPick and Mix Isolation Levels: Mixed Serialization Graph Testing.- BODS: A Benchmark on Data Sortedness.- Disaggregated Database Management Systems (Panel).- TPCx-AI on NVIDIA Jetson.- More the Merrier: Comparative evaluation of TPCx-AI and MLPerf Benchmarks for AI.- Preliminary Scaling Characterization with TPCx-AI.- 4mbench: Performance Benchmark of Manufacturing Business Database.- Benchmarking considerations for Trustworthy and Responsible AI (Panel).- TPCx-AI: First Adopter's Experience Report.- New Initiatives in the TPC.

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Book SynopsisThis book constitutes the proceedings of the Second International Conference on Information Technologies and Intelligent Decision Making Systems, ITIDMS 2022, held as a virtual event, December 12–14, 2022.The 14 papers presented in this volume were carefully reviewed and selected from 38 submissions. The conference was held with the aim of developing and exchanging international experience in the field of information, digital and intellectual technologies, within the framework of which proposals were formulated for digital, intellectual and infor-mation transformation, the development of computer models and the improvement of automated and computing processes. A distinctive feature of the conference is that it presented reports of authors from USA, Canada, Bangladesh, Uzbekistan and Russia. Researchers from different countries presented the process of transition of the information and digital path of development, presented the main directions and de-velopments that can improve the efficiency and development.Table of ContentsAlgorithm for Solving the Problem of Multi-Criteria Optimization of Poorly Formed Processes based on the Construction of a Fuzzy Logic Model.- PACTDet - An Artificially Intelligent Approach to Detect Pulmonary Illnesses: Pneumonia, Asthma, COVID-19, and Tuberculosis.- Detection of Video Image Modification using a Classifier based on Adaptive Resonance Theory.- On the Reduction of Alternatives in the Process of Selecting Preferred Management Decisions.- Performance Analysis of Machine Learning Algorithm on Cloud Platforms: AWS vs Azure vs GCP.- Mathematical Modeling of the Translation Process and its Optimization by the Criterion of Quality Maximization.- Optimization with Quantum Algorithm that is based on Grover’s Method.- Evaluation of the Efficiency of Fault Tolerance Algorithms for Distributed Peer-to-Peer Worker Processes Connected through a Key-Value Store.- Investigation of the Possibility of using Neural Networks to Predict the Concentration of Sodium in a Steam.- Using Ensemble Machine Learning Methods for Regional Forecasting of Geocryological Manifestations (on the Example of the European North-East of Russia).- Deghosting Diffusion Model for Facial Attribute Editing via Differential Activations.- Minimizing Defaultation in Lending Using Blockchain Based Loan Management Syste.- System of Intelligent-Safe Distribution of Network Traffic Loads in Cluster Mesh-Formations of Thermal Technology Systems.- Computer Research and Stabilization of Dynamic Models of Conveyor Systems.

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Book SynopsisThe purpose of the Reasoning Web Summer School is to disseminate recent advances on reasoning techniques and related issues that are of particular interest to Semantic Web and Linked Data applications. It is primarily intended for postgraduate students, postdocs, young researchers, and senior researchers wishing to deepen their knowledge. As in the previous years, lectures in the summer school were given by a distinguished group of expert lecturers. The broad theme of this year's summer school was “Reasoning in Probabilistic Models and Machine Learning” and it covered various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications. The following eight lectures were presented during the school: Logic-Based Explainability in Machine Learning; Causal Explanations and Fairness in Data; Statistical Relational Extensions of Answer Set Programming; Vadalog: Its Extensions and Business Applications; Cross-Modal Knowledge Discovery, Inference, and Challenges; Reasoning with Tractable Probabilistic Circuits; From Statistical Relational to Neural Symbolic Artificial Intelligence; Building Intelligent Data Apps in Rel using Reasoning and Probabilistic Modelling.Table of ContentsExplainability in Machine Learning.- Causal Explanations and Fairness in Data.- Statistical Relational Extensions of Answer Set Programming.- Vadalog: Its Extensions and Business Applications.- Cross-Modal Knowledge Discovery, Inference, and Challenges.- Reasoning with Tractable Probabilistic Circuits.- From Statistical Relational to Neural Symbolic Artificial Intelligence.- Building Intelligent Data Apps in Rel using Reasoning and Probabilistic Modelling.

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Book SynopsisThis book is a comprehensive guide to the latest developments in data-driven additive manufacturing (AM). From data mining and pre-processing to signal processing, computer vision, and more, the book covers all the essential techniques for preparing AM data. Readers willl explore the key physical and synthetic sources of AM data throughout the life cycle of the process and learn about feature engineering techniques, pipelines, and resulting features, as well as their applications at each life cycle phase. With a focus on featurization efforts from reviewed literature, this book offers tabular summaries for major data sources and analyzes feature spaces at the design, process, and structure phases of AM to uncover trends and insights specific to feature engineering techniques. Finally, the book discusses current challenges and future directions, including AI/ML/DL readiness of AM data. Whether you're an expert or newcomer to the field, this book provides a broader summary of the status and future of data-driven AM technology.Table of ContentsIntroduction.- Feature Engineering in AM.- Applications in Data-driven AM.- Analyzing AM Feature Spaces.- Challenges and Opportunities in AM Data Preparation.- Summary.

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Book SynopsisThis textbook is aimed at readers who have little or no knowledge of computer programming but want to learn to program in Python. It starts from the very basics including how to install your Python environment, how to write a very simple program and run it, what a variable is, what an if statement is, how iteration works using for and while loops as well as important key concepts such as functions, classes and modules. Each subject area is prefaced with an introductory chapter, before continuing with how these ideas work in Python. The second edition has been completely updated for the latest versions of Python including Python 3.11 and Python 3.12. New chapters have been added such as those that consider where and how Python is used, the use of Frozensets, how data can be sorted, enumerated types in Python, structural pattern matching and how (and why) Python Virtual Environments are configured. A new chapter ‘The Python Bites back’ is introduced to present the fourteen most common / biggest gotchas for someone new to Python. Other sections have been updated with new features such as Exception Groups, string operations and dictionary operations. A Beginners Guide to Python 3 Programming second Edition provides all you need to know about Python, with numerous examples provided throughout including several larger worked case studies illustrating the ideas presented in the previous chapters.Table of ContentsIntroduction.- Where is Python Used.- Setting up the Python Environment.- A First Python Program.- Python Strings.- Numbers, Booleans and None.- Flow of Control using if statements.- Number Guessing Game.- Recursion.- Introduction to Structured Analysis.- Functions in Python.- Implementing a Calculator using Functions.- Introduction to Functional Programming.- Curried Functions.- Introduction to Object Orientation.- Class Side and Static Behaviour.- Why Bother with Object Orientation?.- Operator Overloading.- Error and Exception Handling.- Python Modules and Packages.- Abstract Base Classes.- Error and Exception Handling.- Python Modules and Packages.- Protocols, Polymorphism and Descriptors.- Decorators.- Iterables and Iterators.- Generators and Coroutines.- Collections Tuples and Lists.- Sets.- Dictionaries.- Frozensets.- Collection Related Modules.- ADTs, Queues and Stacks.- Map, Filter and Reduce.- Sorting and Higher Order Functions.- Python Enumerated Values, Structural Pattern Making.- Python Virtual Environments.- Monkey Patching.- Attribute Lookup.- The Python Bites Back.- TicTacToe Game.

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Book SynopsisThe two-volume set, LNCS 14146 and 14147 constitutes the thoroughly refereed proceedings of the 34th International Conference on Database and Expert Systems Applications, DEXA 2023, held in Penang, Malaysia, in August 2023.The 49 full papers presented together with 35 short papers were carefully reviewed and selected from a total of 155 submissions. The papers are organized in topical sections as follows:Part I: Data modeling; database design; query optimization; knowledge representation; Part II: Rule-based systems; natural language processing; deep learning; neural networks.Table of ContentsRule-Based Systems.- RD-Classifier: Reduced Dimensionality Classifier for Alzheimer‘s Diagnosis Sup-port System.- User Interactions-aware Knowledge Graphs for Recommender Systems.- How Does the System Perceive Me? --- A Transparent and Tunable Recommender System.- MERIHARI-Area Tour Planning by Considering Regional Characteristics. -Financial Argument Quality Assessment in Earnings Conference Calls.- Explaining Decisions of Black-box Models using BARBE.- Efficient Video Captioning with Frame Similarity-based Filtering.- Trace-based Anomaly Detection with Contextual Sequential Invocations.- Fusing Fine-grained Information of Sequential News for Personalized News Recommendation.- A Finite- Domain Constraint-based Approach on the Stockyard Planning Problem.- Data Analytics Framework for Smart Waste Management Optimisation: A Key to Sustainable Future for Councils and Communities.- Natural Language Processing.- Hierarchy-aware Bilateral-Branch Network for Imbalanced Hierarchical Text Classification.- Multi-Feature and Multi-Channel GCNs for Aspect Based Sentiment Analysis.- Knowledge Injection for Aspect-Based Sentiment Classification.- Towards Ensemble-based Imbalanced Text Classification using Metric Learning.- Target and Precursor named entities recognition from scientific texts of high-temperature steel using deep neural network.- Enabling PII Discovery in Textual Data via Outlier Detection. -Deep Learning.- An Efficient Embedding Framework for Uncertain Attribute Graph.- Double-layer Attention for Long Sequence Time-Series Forecasting.- Multi-core Adaptive Merging of the Secondary Index for LSM-based Stores.- CAGAIN: Column Attention Generative Adversarial Imputation Networks.- CF-SAFF: Collaborative Filtering based on Self-Attention Mechanism and Feature Fusion.- Except-Condition Generative Adversarial Network for Generating Trajectory Data. - Next POIs Prediction for Group Recommendations: Influence-based Deep Learning Model. - Interpreting Deep Text Quantification Models.- NExtGCN: Modeling Node Importance of Graph Convolution Network by Neighbor Excitation for Recommendation.- Dual Congestion-aware Route Planning for Tourists by Multi-agent Reinforcement Learning.- Subspace Clustering Technique Using Multi-Objective Functions for Multi-class Categorical Data.- Neural Networks.- Multi-task Graph Neural Network for Optimizing the Structure Fairness.- Few-Shot Multi-Label Aspect Category Detection Utilizing Prototypical Network with Sentence-Level Weighting and Label Augmentation.- Toward Healthy Aging: Temporal Regression for Disability Prediction and Warning Decision-Making.- A Label Embedding Method via Conditional Covariance Maximization for Mul-ti-label Classification.- Integrally Private Model Selection for Deep Neural Networks.- Gaussian Process Component Mining with the Apriori Algorithm.- Learnable Filter Components For Social Recommendation.- Efficient Machine Learning-Based Prediction of CYP450 Inhibition.- A Machine-Learning Framework for Supporting Content Recommendation via User Feedback Data and Content Profiles in Content Managements Systems.- Fine-tuning Pre-Trained Model for Consumer Fraud Detection from Consumer Reviews.- Deep Multi-Interaction Hidden Interest Evolution Network for Click-through Rate Prediction.- Temporal Semantic Attention Network for Aspect-Based Sentiment Analysis.- Celestial Machine Learning from Data to Mars and Beyond with AI Feynman.

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Book SynopsisThis book constitutes the proceedings of the 12th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2023, which took place in Penang, Malaysia, during August 28-30, 2023.The 8 full papers presented together with 1 short paper were carefully reviewed and selected from a total of 17 submissions. They were organized in topical sections as follows: e-Government; strategy; artificial intelligence.Table of Contentse-Government.- NSFASonto: An Ontology for South African National Student Financial Aid Scheme Operations.- The Utilization of Public-Private Partnership Frameworks in the Management of eID Projects.- Strategy.- OntoSBehaviour: An Ontology of Students’ Behaviours at Institutions of Higher Learning.- Public Health Data and International Privacy Rules and Practices: A Case Study of Singapore.- Sentiment Analysis Application in E-Commerce Current Models and Future Directions.- Artificial Intelligence.- Evolving Justice Sector: An Innovative Proposal for Introducing AI-based Techniques in Court Offices.- Ontology-Driven Parliamentary Analytics: Analysing Political Debates on COVID-19 Impact in Canada.- Hybrid AI Analysis of the drug micro-trafficking in Italy.- Exploring the Potential of AI & MDL for Enhancing E-Government Services: A review paper.

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Book SynopsisThis book presents the proceedings of the International Conference on Applied Cyber Security 2023 (ACS23), held in Dubai on the April 29, containing seven original contributions. Cybersecurity is continuously attracting the world’s attention and has gained in awareness and media coverage in the last decade. Not a single week passes without a major security incident that affects a company, sector, or governmental agencies. Most of the contributions are about applications of machine learning to accomplish several cybersecurity tasks, such as malware, network intrusion, and spam email detection. Similar trends of increasing AI applications are consistent with the current research and market trends in cybersecurity and other fields. We divided this book into two parts; the first is focused on malicious activity detection using AI, whereas the second groups AI applications to tackle a selection of cybersecurity problems.This book is suitable for cybersecurity researchers, practitioners, enthusiasts, as well as fresh graduates. It is also suitable for artificial intelligence researchers interested in exploring applications in cybersecurity. Prior exposure to basic machine learning concepts is preferable, but not necessary.

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Book SynopsisThis two-volume set LNCS 14193-14194 constitutes the proceedings of International Workshops co-located with the 17th International Conference on Document Analysis and Recognition, ICDAR 2023, held in San José, CA, USA, during August 21–26, 2023. The total of 43 regular papers presented in this book were carefully selected from 60 submissions. Part I contains 22 regular papers that stem from the following workshops: ICDAR 2023 Workshop on Computational Paleography (IWCP); ICDAR 2023 Workshop on Camera-Based Document Analysis and Recognition (CBDAR); ICDAR 2023 International Workshop on Graphics Recognition (GREC); ICDAR 2023 Workshop on Automatically Domain-Adapted and Personalized Document Analysis (ADAPDA); Part II contains 21 regular papers that stem from the following workshops: ICDAR 2023 Workshop on Machine Vision and NLP for Document Analysis (VINALDO); ICDAR 2023 International Workshop on Machine Learning (WML). Table of ContentsTypefaces and Ligatures in Printed Arabic Text: A Deep Learning-Based OCR Perspective.- Leveraging Knowledge Graph Embeddings to Enhance Contextual Representations for Relation Extraction.- Extracting Key-Value Pairs in Business Documents.- Long-Range Transformer Architectures for Document Understanding.-Pre-training transformers for Corporate Documents Understanding.- Transformer-Based Neural Machine Translation for Post-OCR Error Correction in Cursive Text.- Arxiv Tables: Document Understanding Challenge Linking Texts and Tables.- Subgraph-Induced Extraction Technique for Information (SETI) from Administrative Documents.- Document Layout Annotation: Database and Benchmark in the Domain of Public Affairs.- A Clustering Approach Combining Lines and Text Detection for Table Extraction.- Absformer: Transformer-Based Model for Unsupervised Multi-Document Abstractive Summarization.- A Comparison of Demographic Attributes Detection from Handwriting Based on Traditional and Deep Learning Methods.- A New Optimization Approach to Improve an Ensemble Learning Model: Application to Persian/Arabic Handwritten Character Recognition.- BN-DRISHTI: Bangla Document Recognition Through Instance-level Segmentation of Handwritten Text Images.- Text Line Detection and Recognition of Greek Polytonic Documents.- A Comprehensive Handwritten Paragraph Text Recognition System: LexiconNet.- Local Style Awareness of Font Images.- Fourier Feature-Based CBAM and Vision Transformer for Text Detection in Drone Images.- Document Binarization with Quaternionic Double Discriminator Generative Adversarial Network.- Crosslingual Handwritten Text Generation Using GANs.- Knowledge Integration inside Multitask Network for Analysis of Unseen ID Types.

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Book SynopsisThis book constitutes selected, revised and extended papers of the 7th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2021, held in April 2021, and 8th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2022, held in April 2022. Due to the COVID-19 pandemic both conferences were held online. The 4 revised full papers presented at GISTAM 2021 were carefully reviewed and selected from the 44 submissions, and 3 papers presented at GISTAM 2022 were selected from the 27 submissions. The papers are centered on urban and regional planning; water information systems; geospatial information and technologies; spatio-temporal database management; decision support systems; energy information systems; GPS and location detection.Table of ContentsMapping Prosopis Juliora Invasion using Remote Sensing Data and GIS Geostatistics Techniques.- Progress on Land Surface Phenology Estimation with Multispectral Remote Sensing.- Analytical Hierarchical Processing to Delineate Artificial Groundwater Recharge Zones.- Characteristic of the Urban Landscape of the City of Split (Croatia) - Application of WorldView3 Imagery and GEOBIA Method in Derivation of Urban Planning Indicators (UPI).- Potential and Limitations of Free Online Precise Point Positioning Services for GNSS Rover-Base Surveys in Low-Density CORS Areas.- The Use of Volunteered Geographic Information to Explore Informal Trail Networks in Protected Areas.- Solar Energy Assessment: From Rooftop Extraction To Identifying Utilizable Areas.

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Book SynopsisThis book constitutes the refereed proceedings of the 12th International Conference, BigData 2023, Held as Part of the Services Conference Federation, SCF 2023, Honolulu, HI, USA, during September 23–26, 2023. The 14 full papers presented together with 2 short papers were carefully reviewed and selected from 27 submissions. The conference focuses on ​research track and application track.Table of ContentsResearch Track.- A Survey on Cross-domain Few-Shot Image Classification.- Exploring the Predictive Power of Correlation and Mutual Information in Attention Temporal Graph Convolutional Network for COVID-19 Forecasting.- IoT Lakehouse: A New Data Management Paradigm for AIoT.- HMGR: A Hybrid Model for Geolocation Recommendation.- Non-essential Perspective on Thinking Law of Data Protection and Utilization.- The Shifting Role of Government in Government Data Openness.- How do we talk and feel about COVID-19? Sentiment Analysis of Twitter Topics.- Lightweight Weight Update for Convolutional Neural Networks.- Bioinformatics-based Acquisition Of Alzheimer's Disease Hub Genes.- Application Track.- Enhanced Campus Information Query System based on ChatGPT Interface and Local Content Database.- Prediction of TrkB complex and antidepressant targets leveraging big data.- Does Trust Improve Commercial Insurance Participation Behavior?.- Research on Big Data Empowering Ecological Governance.- Research on Complex Financial Ecosystem Modeling and Traceability Analysis Based on Heterogeneous Graph Attention Networks.- Short Paper Track.- Accelerate SVM Training with OHD-SVM on GPU.- Construction of data security system.

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Book Synopsis​Volume LNCS 14414 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada in October 2023.The DEMI 2023 proceedings contain 11 high-quality papers of 9 to 15 pages pre-selected through a rigorous peer review process (with an average of three reviews per paper). All submissions were peer-reviewed through a double-blind process by at least three members of the scientific review committee, comprising 16 experts in the field of medical imaging. The accepted manuscripts cover various medical image analysis methods and applications.Table of ContentsWeakly Supervised Medical Image Segmentation through Dense Combinations of Dense Pseudo-Labels.- Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis.- A Client-server Deep Federated Learning for Cross-domain Surgical Image Segmentation.- Pre-training with simulated ultrasound images for breast mass segmentation and classification.- Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications.- A Self-supervised Approach for Detecting the Edges of Haustral Folds in Colonoscopy Video.- Procedurally Generated Colonoscopy and Laparoscopy Data For Improved Model Training Performance.- Improving Medical Image Classification in Noisy Labels Using Only Self-supervised Pretraining.- A Study on Using Transformer Encoding Techniques to Optimize Data-driven Volume-to-Surface Registration for Minimally Invasive Liver Interventions.- Vision Transformer-based Self-Supervised Learning for Ulcerative Colitis Grading in Colonoscopy.- Task-guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy.

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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 book constitutes the refereed proceedings of the 21st International Conference of the International Graphonomics Society on Graphonomics in Human Body Movement, IGS 2023, held in Évora, Portugal, during October 16–19, 2023.The 12 full papers presented in this book together with one short paper and two invited papers were carefully reviewed and selected from 23 submissions. The conference centers around graphonomics research aimed at comprehending the processes of handwriting acquisition and execution. Moreover, it delves deeper into the impact of the writer's neural, psychological, and biomechanical conditions on the various aspects of handwritingTable of Contents​HANDWRITING LEARNING AND DEVELOPMENT.- A short review on the analysis of graphonometric evaluation in children.- Assessment of Developmental Dysgraphia Utilising a Display Tablet.- Analysis of eye movements in children with developmental coordination disorder during a handwriting copy task.- HANDWRITING ANALYSIS.- On the analysis of saturated pressure to detect fatigue.- HANDWRITING FOR EDUCATION.- IntuiSketch, a pen-based tutoring system for anatomy students.- Towards visuo-structural handwriting evaluation based on graph matching.- Copilotr@ce Put to the Crowdsourcing Test.- HANDWRITING FOR NEURODEGENERATIVE DISORDERS.- A Machine Learning Approach to Analyze the Effects of Alzheimer’s Disease on Handwriting through Lognormal Features.- Feature Evaluation in Handwriting Analysis for Alzheimer's disease using Bayesian Network.- I Can't Believe It's Not Better: In-air Movement For Alzheimer Handwriting Synthetic Generation.- HANDWRITTEN HISTORICAL DOCUMENTS.- The Neglected Role of GUI in Performance Evaluation of AI-based Transcription Tools for Handwritten Documents.- Estimating the Optimal Training Set Size of Keyword Spotting for Historical Handwritten Document Transcription.- A Digital Analysis of Mozart’s F-Clefs.- SPECIAL SESSION on Movement variability.- Movement Variability analysis.- SPECIAL SESSION on Lognormality.- Lognormality: an open window on neuromotor control.

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Book SynopsisThese two volumes constitute the proceedings of the 10th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2023, held in Kanazawa, Japan, during November 2-4, 2023. The 58 full papers presented were carefully reviewed and selected from 107 submissions. The papers deal with all aspects of research results, ideas, and experiences of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.Table of ContentsUncertainty Management and Decision Making.- Optimization and Statistical Methods.- Economic Application

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Book SynopsisThis book constitutes the refereed proceedings of the 16th International Conference on Similarity Search and Applications, SISAP 2023, held in A Coruña, Spain, during October 9–11, 2023.The 16 full papers and 4 short papers included in this book were carefully reviewed and selected from 33 submissions. They were organized in topical sections as follows: similarity queries, similarity measures, indexing and retrieval, data management, feature extraction, intrinsic dimensionality, efficient algorithms, similarity in machine learning and data mining.Table of Contents​Keynotes.- From Intrinsic Dimensionality to Chaos and Control: Towards a Unified Theoretical View.- The Rise of HNSW: Understanding Key Factors Driving the Adoption.- Towards a Universal Similarity Function: the Information Contrast Model and its Application as Evaluation Metric in Artificial Intelligence Tasks.- Research Track.- Finding HSP Neighbors via an Exact, Hierarchical Approach.- Approximate Similarity Search for Time Series Data Enhanced by Section Min-Hash.- Mutual nearest neighbor graph for data analysis: Application to metric space clustering.- An Alternating Optimization Scheme for Binary Sketches for Cosine Similarity Search.- Unbiased Similarity Estimators using Samples.- Retrieve-and-Rank End-to-End Summarization of Biomedical Studies.- Fine-grained Categorization of Mobile Applications through Semantic Similarity Techniques for Apps Classification.- Runs of Side-Sharing Tandems in Rectangular Arrays.- Turbo Scan: Fast Sequential Nearest Neighbor Search in High Dimensions.- Class Representatives Selection in Non-Metric Spaces for Nearest Prototype Classification.- The Dataset-similarity-based Approach to Select Datasets for Evaluation in Similarity Retrieval.- Suitability of Nearest Neighbour Indexes for Multimedia Relevance Feedback.- Accelerating k-Means Clustering with Cover Trees.- Is Quantized ANN Search Cursed? Case Study of Quantifying Search and Index Quality.- Minwise-Independent Permutations with Insertion and Deletion of Features.- SDOclust: Clustering with Sparse Data Observers.- Solving k-Closest Pairs in High-Dimensional Data using Locality- Sensitive Hashing.- Vec2Doc: Transforming Dense Vectors into Sparse Representations for Efficient Information Retrieval.- Similarity Search with Multiple-Object Queries.- Diversity Similarity Join for Big Data.- Indexing Challenge.- Overview of the SISAP 2023 Indexing Challenge.- Enhancing Approximate Nearest Neighbor Search: Binary-Indexed LSH-Tries, Trie Rebuilding, And Batch Extraction.- General and Practical Tuning Method for Off-the-Shelf Graph-Based Index: SISAP Indexing Challenge Report by Team UTokyo.- SISAP 2023 Indexing Challenge – Learned Metric Index.- Computational Enhancements of HNSW Targeted to Very Large Datasets.- CRANBERRY: Memory-Effective Search in 100M High-Dimensional CLIP Vectors.

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Book SynopsisThis book constitutes the refereed proceedings of 7 workshops, held at the 42nd International Conference on Conceptual Modeling, ER 2023, held in Lisbon, Portugal, during November 6-9, 2023. The 28 full and 2 short papers were carefully reviewed and selected out of 53 submissions. Topics of interest span the entire spectrum of conceptual modeling, including research and practice in areas such as theories of concepts and ontologies, techniques for transforming conceptual models into effective implementations, and methods and tools for developing and communicating conceptual models. The following workshops are included in this volume: CMLS – 4th International Workshop on Conceptual Modeling for Life Sciences; CMOMM4FAIR – Third Workshop on Conceptual Modeling, Ontologies and (Meta)data Management for Findable, Accessible, Interoperable, and Reusable (FAIR) Data; EmpER – 6th International Workshop on Empirical Methods in Conceptual Modeling; JUSMOD – Second International Workshop on Digital Justice, Digital Law and Conceptual Modeling; OntoCom – 9th International Workshop on Ontologies and Conceptual Modeling; QUAMES – 4th International Workshop on Quality and Measurement of Model-Driven Software Development; SmartFood – First Workshop on Controlled Vocabularies and Data Platforms for Smart Food Systems. Table of Contents​CMLS: An Ontology for Breast Cancer Screening.- Integrating Nuclear Medicine and Radiopharmacy Data: A Conceptual Model for Precision Medicine and Enhanced Patient Care.- Comprehensive Representation of Variation Interpretation Data via Conceptual Modeling.- Enhancing Precision Medicine: An Automatic Pipeline Approach for Exploring Genetic Variant-Disease Literature.- CMOMM4FAIR: euFAIR: A Digital Tool for Assessing the FAIR Principles.- EmpER: Empirical Exploration of Open-Source Issues for Predicting Privacy Compliance.- Human-Centred Conceptual Modelling for Re-Designing Urban Planning.- Using Knowledge Graphs to Generate SQL Queries from Textual Specifications.- A Systematic Approach to Generate TOGAF Artifacts Founded on Multiple Data Sources and Ontology.- Bridging the Gap: Conceptual Modeling and Machine Learning for Web Portals.- JUSMOD: New-Generation Templates Facilitating the Shift from Documents to Data in the Italian Judiciary.- Supervised Learning, Explanation and Interpretation from Pretrial Detention Decisions by Italian and Brazilian Supreme Courts.- Few-Shot Legal Text Segmentation via Rewiring Conditional Random Fields: A Preliminary Study.- Identification and Visualization of Legal Definitions and Legal Term Relations.- Comparative Analysis of Disinformation Regulations: A Preliminary Analysis.- Privacy-Preserving Data Integration for Digital Justice.- Public Procurement Analysis with Process Discovery Techniques and Event Log Enrichment.- Formalising Legal Knowledge of Sri Lankan Civil Appellate High Court Domain from Ontological Perspective.- OntoCom: Towards Semantics for Abstractions in Ontology-Driven Conceptual Modeling.- Misalignments of Social and Numerical Identity – An Ontological Analysis.- Using an Ontology for Defining Semantics of Fractal Enterprise Model.- One Model to Rule Them All: A Demonstration of Ontology-Driven Minimum Viable Product Development for a Local Tourism Platform.- Enhancing Requirement-Information Mapping for Sustainable Buildings: Introducing the SFIR Ontology.- On the Use of ChatGPT for Classifying Domain Terms According to Upper Ontologies.- QUAMES: Exploring Understandability in Socio-Technical Models for Data Protection Analysis: Results from a Focus Group.- FlowTGE: Automating Functional Testing of Executable Business Process Models Based on BPMN.- An Approach Aligned with Model Driven Development to Evaluate the Quality of Explainable Artificial Intelligence.- SmartFood: Unveiling major Knowledge Organization Systems’ artifacts for Agriculture with network graphs.- Design Implications Towards Human-Centric Semantic Recommenders for Sustainable Food Consumption.- CoffeeWKG: A Weather Knowledge Graph for Coffee Regions in Colombia.

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Book SynopsisThis book constitutes the proceedings of the 22nd International Semantic Web Conference, ISWC 2023, which took place in October 2023 in Athens, Greece. The 58 full papers presented in this double volume were thoroughly reviewed and selected from 248 submissions. Many submissions focused on the use of reasoning and query answering, witha number addressing engineering, maintenance, and alignment tasks for ontologies. Likewise, there has been a healthy batch of submissions on search, query, integration, and the analysis of knowledge. Finally, following the growing interest in neuro-symbolic approaches, there has been a rise in the number of studies that focus on the use of Large Language Models and Deep Learning techniques such as Graph Neural Networks.

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Book SynopsisThis book constitutes the refereed proceedings of the 5th Iberoamerican Conference and 4th Indo-American Conference on Knowledge Graphs and Semantic Web, KGSWC 2023, held jointly in Zaragoza, Spain, during November 13–15, 2023.The 18 full and 2 short papers presented were carefully reviewed and selected from 50 submissions. They focus on the following topics: knowledge representation; natural language processing/text mining; and machine/deep learning research.Table of ContentsAn ontology for Tuberculosis Surveillance System.- Should I Stay or Should I Go: A New Reasoner for Description Logic.- An Intelligent Article Knowledge Graph Formation Framework using BM25 Probabilistic Retrieval Model.- Defeasible Reasoning with Knowledge Graphs.- Recommendation of Learning Paths based on Open Educational Resources.- An enterprise architecture for interpersonal activity knowledge management.- Unlocking the Power of Semantic Interoperability in Industry 4.0: A Comprehensive Overview.- On the Representation of Dynamic BPMN Process Executions in Knowledge Graphs.- Towards a Framework for Seismic Data.- Using Pregel to create Knowledge Graphs subsets described by non-recursive Shape Expressions.- ITAQ : Image Tag Recommendation Framework for Aquatic Species integrating Semantic Intelligence via Knowledge Graph.- Automatic Semantic Typing of Pet E-Commerce Products Using Crowdsourced Reviews: An Experimental Study.- A Modular Ontology for MODS – Metadata Object Description Schema.- A Topic Model for the Data Web.- Automating the Generation of Competency Questions for Ontologies with AgOCQs.- KnowWhereGraph-Lite: A Perspective of the KnowWhereGraph.- Ontology-Based Models of Chatbots for Populating Knowledge Graphs.- An Ontology for Reasoning about Fairness in Regression and Machine Learning.- SCIVO: Skills to Career with Interests and Values Ontology.- Topic Modeling for Skill Extraction from Job Postings.

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Book SynopsisRepresentation of Discrete Signals and Systems.- The z-transform Analysis of Discrete Time Systems.- Discrete Fourier Transform and Computation.- Design of IIR Digital Filters.- Design of Finite Impulse Response (FIR) Digital Filters.- Digital Signal Processor.- Index.

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Book SynopsisThis book collects together selected peer-reviewed contributions presented at the European Conference on Data Analysis, ECDA 2022, held in Naples, Italy, September 14-16, 2022. Highlighting the role of statistics in discovering novel and interesting patterns in the era of big data, it follows the motto of the conference: “Avoiding drowning in the data: recent trends and future challenges in learning from data”. The central focus is on multidisciplinary approaches to data analysis, classification, and the interface between computer science, data mining and statistics. Both methodological and applied topics are covered. The former includes supervised and unsupervised techniques with particular emphasis on advances in regression and clustering analysis and constructing composite indicators. The applications are mainly in risk analysis, biology, and education. The volume is organized into four main macro themes: methodological contributions in the social sciences and education, multivariate analysis methods for big data, innovative contributions for applications inspired by biology, and strategies for analyzing complex data in finance.Table of ContentsPreface.- Building hierarchies of factors with disjoint factor analysis.- Uncertainty in Latent Trait Models and dimensionality reduction methods for complex data: an analysis of taxpayer perception on the Fiscal System.- The predictivity of access tests for university success.- Asynchronous and synchronous-asynchronous particle swarms.- The impact of the Covid-19 pandemic on modelling volatility and risk analysis of returns in selected European financial markets.- Asymmetric binary regression models for imbalanced datasets: an application to students’ churn.- Computational models supporting decision-making in managing publication activity at Polish universities.- Stability of nonparametric methods for cognitive diagnostic assessment.- SMARTS: SeMi-supervised clustering for Assessment of Reviews using Topic and Sentiment.- The equitable and sustainable wellbeing through the pandemic. A first study to assess changes at local level in Italy.- Choice-Based Optimization under High-Dimensional MNL.- A first glance on co-evolution of Boolean networks to simulate the development of cross-talking systems in molecular biology.- Classification on polish fund market during COVID-19 pandemic - extreme risk modeling approach.

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Book SynopsisBusiness Engineering.- Arctic Sustainable Development: Digital and Logistics Infrastructure in the Region.- Methodology for Modeling the Impact of Multimodal Transportation on the Development of the Arctic Region of Russia.- Can hackathons contribute to the development of entrepreneurship among students at all? Case study of an educational cross functional hackathon.- The Port of Saint Petersburg Redevelopment: Threats and Opportunities.- The role of enterprise architecture in the digital transformation of energy.- Implementation of ILS methodology on the basis of ISO 55000 series standards.- POSSIBILITIES OF USING COMPUTER-AIDED DESIGN SYSTEMS TO IMPROVE THE QUALITY OF TECHNICAL SPECIALISTS TRAINING.- On the issue of choosing the best predictive model based on Bayesian principles.- Industrial Economics.- Modeling of Socio-Economic Processes Agent Systems.- Data Preprocessing for Modeling Socioeconomic Systems in View of Uncertainty.- Managing Financial Risks in Industrial Entrepreneurship.- Study of "ultra-retail" Russian stock market volatility in the national economic security context.- Effect of Share Repurchase on Stock Price of Chinese Listed Companies.- Key factors in efficient auditing of investment projects in time of digitalization.- Production functions in the intellectual capital management of industrial enterprises.- Problems of import substitution of processors and ways to solve them in the Russian Federation.- Industrial Management.- Academic School for Training Engineers-economists and Economists-managers of Machine-building Profile at Peter the Great St. Petersburg Polytechnic University.- Development of the Theory of Optimization and Management of Metallurgical Production and its Technological Processes.- The History of the Formation and Development of the Energy Profile of the Graduate School of Industrial Management.- Automated Management Systems, Economic and Mathematical Methods, Transition to Digitalization of Management.- The Concept of Asset and Enterprise Value Management in the Development of Industrial Management Theory.- Current Trends and Problems of Development of the Oil and Gas Industry in the Context of Import Substitution and Transition to Low-carbon Energy.- Methodology for Assessing of the Energy Potential of a Region.- Modification of the Balanced Scorecard in a Digital Economy.- Marketing Digitalization Aspects: Manufacturing Firms Experience.- Human Capital Management of Industrial Enterprises in Modern Conditions.- Prospects for International Economic Cooperation between Russia and China in the Interests of the Development of the Arctic Region.- Model of Strategic Management of National Agri-business: Conceptual, Theoretical, and Applied Aspects.- Public Administration.- Drivers of Innovative Changes in the Recycling Industry: Regional Leadership, Society Involvement, and Professional Collaboration.- The Place of Digitalization in Managing the Socio-Economic Development of Regions and Countries.- State Regulation of Educational Tourism.- Model of Adaptive Public Management of Regional Innovation and Industrial Clusters.- Improving the Efficiency of Using LMS Moodle in the Educational Process by Implementing Gamification Technologies.- The Internet and Local Government Communication with Citizens and Local Communities.- Green Human Resource Management Concept: Russia and The World Comparison.- Service and Trade.- Authenticity of indigenous peoples in the conditions of industrial development of the Arctic.- Study of Factors Forming Loyalty to Influencers.- Marketing Complex in the Concept of Metaverse: Growth Options and Development Problems.- Digital platforms and ecosystems in air passenger transportations: interpretation of definitions and offering a new perspective.- Digital transformation of marketing strategies in construction SMEs.- Possibilities of applying neural network models to assess quality of life.- Digital Logistics Platform for Bioenergy Goods Networks.- Maturity level assessment of a process management system: problems and prospects of current methodologies.- Analysis of Dynamics and Identification of Trends in the Development of the Service Sector in Modern Realities.- State-Run Food Retail Chains as a Tool of Food Security: an Analysis of Existing Practices.- Economic Theory.- The History of the Emergence and Development of Economic Education at St. Petersburg Polytechnic University. 

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