Expert systems / knowledge-based systems Books

Book SynopsisThis book constitutes the proceedings of the 7th International Conference on Business Intelligence, CBI 2022, which took place in Khouribga, Morocco, during May 26-28, 2022. The 23 full papers included in this book were carefully reviewed and selected from a total of 68 submissions. They were organized in topical sections as follows: decision support and artificial intelligence; business intelligence and database; and optimization and dynamic programming.Table of ContentsDecision Support and Artificial Intelligence.- Optimization Focused On Parallel Fuzzy Deep Belief Neural Network For Opinion Mining.- A Convolutional Neural Networks-Based Approach For Potato Disease Classification.- Performance Investigation of a Proposed CBIR Search Engine Using Deep Convolu-tional Neural Networks.- Decision Boundary to improve the sensitivity of deep neural networks models. - Facial Expression Recognition Using a Hybrid ViT-CNN Aggregator.- Machine Learning Approach to Automate Decision Support on Information System Attacks.- Deep Reinforcement Learning for Bitcoin Trading.- An exploration of student grade retention prediction using machine learning algorithms.- Deep Learning Model For Educational Recommender Systems.- Comparative Study of Deep Learning Models for detection and classification of intracranial hemorrhage.- Business Intelligence and Database.- Increasing Student Engagement in Lessons and Assessing MOOC Participants Through Artificial Intelligence. -Mining frequents itemset and association rules in diabetic dataset.- Automatic text summarization for Moroccan Arabic dialect using an artificial intelligence approach.- Automatic Change Detection based on the Independent Component Analysis and Fuzzy C-means Methods.- Sentiment analysis decision system for tracking climate change opinion in Twitter.- Analysis of Decision Tree Algorithms for Diabetes Prediction.- How far can Deep Learning improve Arabic Part of Speech Tagging.- Optimization and Dynamic programming.- Analysis of Several Algorithms for DOA Estimation in Two Different Communication Models by a Comparative Study.- A Novel hybrid Approach for improving the accuracy of the Supervised Link Prediction based on Graph Structure Features in Social Networks. - Intelligent system based on GAN model for decision support in brain Tumor segmentation.- Hospital room management for Covid-19 patients using Petri nets.- Dimensionality reduction of MI-EEG data via convolutional autoencoders with a low size dataset.- Car tracking technique for DLES Project.

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Book SynopsisThis book constitutes the refereed proceedings of the 15th IAPR International Workshop on Document Analysis Systems, DAS 2022, held in La Rochelle, France, in May 2022.The full papers presented were carefully reviewed and selected from numerous submissions addressing key techniques of document analysis.

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Book SynopsisThis volume constitutes the papers of several workshops which were held in conjunction with the 27th International Conference on Database Systems for Advanced Applications, DASFAA 2022, held as virtual event in April 2022. The 30 revised full papers presented in this book were carefully reviewed and selected from 65 submissions. DASFAA 2022 presents the following five workshops: · First workshop on Pattern mining and Machine learning in Big complex Databases (PMBD 2021) · 6th International Workshop on Graph Data Management and Analysis (GDMA 2022) · First International Workshop on Blockchain Technologies (IWBT2022) · 8th International Workshop on Big Data Management and Service (BDMS 2022) · First workshop on Managing Air Quality Through Data Science · 7th International Workshop on Big Data Quality Management (BDQM 2022). Table of ContentsAn Algorithm for Mining Fixed-Length High Utility Itemsets.- A Novel Method to Create Synthetic Samples with Autoencoder Multi-layer Extreme Learning Machine.- Pattern Mining: Current Challenges and Opportunities.- Why not to Trust Big Data: Identifying Existence of Simpson’s Paradox Localized Metric Learning for Large Multi-Class Extremely Imbalanced Face Database.- Top-k dominating queries on incremental datasets.- Collaborative Blockchain based Distributed Denial of Service Attack Mitigation approach with IP Reputation System.- Model-Driven Development of Distributed Ledger Applications Towards a Blockchain Solution for Customs Duty-Related Fraud.- Securing Cookies/Sessions through Non-Fungible Tokens.- Chinese Spelling Error Detection and Correction Based on Knowledge Graph Construction and Application of Event Logic Graph: A Survey.- Enhancing Low-resource Languages Question Answering with Syntactic Graph.- Profile Consistency Discrimination.- H-V：An Improved Coding Layout based on Erasure Coded Storage System.- Astral: An Autoencoder-based Model for Pedestrian Trajectory Prediction of Variable-Length.- A Survey on Spatiotemporal Data Processing Techniques in Smart Urban Rail.- Fast Vehicle Track Counting in Traffic Video.- Summary A Traffic Summarization System using Semantic Words.- Attention_Cooperated_Reinforcement_Learning_for_Multi_agent_Path_Planning.- Big Data-driven Stable Task Allocation in Ride-hailing Services.- Weighted_Mean_Field_Multi_Agent_Reinforcement_Learning_via_Reward_Attribution_Decomposition.- Evaluating Presto and SparkSQL with TPC-DS.- Optimizing the Age of Sensed Information in Cyber-Physical Systems.- Aggregate Query Result Correctness using pattern Tables.- Time Series Data Quality Enhancing based on pattern Alignment.- Research on Feature extraction method of data quality intelligent detection.- Big Data Resources to Support Research Opportunities on Air Pollution Analysis in India.- Air Quality Data Collection in Hyderabad Using Low-cost Sensors: Initial Experiences.- Visualizing Spatio-Temporal Variation of Ambient Air Pollution in Four Small Towns in India.

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Book SynopsisThis book constitutes the refereed proceedings of the 12th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2022, held in Helsinki, Finland, in June 2022. The 13 full papers presented were carefully reviewed and selected from 21 submissions. The papers address various topics such as information and knowledge systems, including submissions that apply ideas, theories or methods from specific disciplines to information and knowledge systems. Examples of such disciplines are discrete mathematics, logic and algebra, model theory, databases, information theory, complexity theory, algorithmics and computation, statistics and optimization.Table of ContentsOn Sampling Representatives of Relational Schemas with a Functional Dependency.- On the expressive power of message-passing neural networks as global feature map transformers.- Assumption-Based Argumentation for Extended Disjunctive Logic Programming.- A graph based semantics for Logical Functional Diagrams in power plant controllers.- Database Repair via Event-Condition-Action Rules in Dynamic Logic.- Statistics of RDF store for querying knowledge graphs.- Can you answer while you wait?.- The implication problem for functional dependencies and variants of marginal distribution equivalences.- Approximate Keys and Functional Dependencies in Incomplete Databases With Limited domains.- The Fault-Tolerant Cluster-Sending Problem.- Optimizing multiset relational algebra queries using weak-equivalent rewrite rules.- Properties of System W and its Relationships to Other Inductive Inference Operators.- Towards the Evaluation of Action Reversibility in STRIPS using Domain Generators.

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Book SynopsisThis book constitutes the refereed proceedings of the 16th International Conference on Software Technologies, ICSOFT 2021, Virtual Event, July 6–8, 2021. The conference was held virtually due to the COVID-19 crisis.The 10 full papers included in this book were carefully reviewed and selected from 117 submissions.Table of ContentsLinked Data as Medium for Stigmergy-based Optimization and Coordination.- Object Parsing Expressions for Unplanned, Unmodified, and Incremental Grammar Reuse.- A Methodology for Organizational Data Science towards Evidence-based Process Improvement.- Feedback Generation for Automatic User Interface Design Evaluation.- Tales from the Code #2: A Detailed Assessment of Code Refactoring's Impact on Energy Consumption.- Towards Power Consumption Optimization for Embedded Systems from a Model-driven Software Development Perspective.- Materializing Microservice-oriented Architecture from Monolithic Object-oriented Source Code.- A Personalized Code Formatter: Detection & Fixing.- Software Framework of Context-aware Reconfigurable Secure Smart Grids.- A Novel Neural Network-based Malware Severity Classification System.

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Book SynopsisThis book constitutes the post-conference proceedings of the 23rd International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2021, held in Moscow, Russia, in October 2021*.The 16 revised full papers were carefully reviewed and selected from 61 submissions. The papers are organized in the following topical sections: problem solving infrastructures, experiment organization, and machine learning applications; data analysis in astronomy; data analysis in material and earth sciences; information extraction from text* The conference was held virtually due to the COVID-19 pandemic.Table of ContentsProblem Solving Infrastructures, Experiment Organization, and Machine Learning Applications.- MLDev: Data Science Experiment Automation and Reproducibility Software.- Response to Cybersecurity Threats of Informational Infrastructure Based on Conceptual Models.- Social Network Analysis of the Professional Community Interaction - Movie Industry Case.- Data Analysis in Astronomy.- Cross-Matching of Large Sky Surveys and Study of Astronomical Objects Apparent in Ultraviolet Band Only.- The Diversity of Light Curves of Supernovae Associated with Gamma-Ray Bursts.- Application of Machine Learning Methods for Cross-Matching Astronomical Catalogs.- Pipeline for Detection of Transient Objects in Optical Surveys.- VALD in Astrophysics.- Data Analysis in Material and Earth Sciences.- Machine Learning Application to Predict New Inorganic Compounds – Results and Perspectives.- Interoperability and Architecture Requirements Analysis and Metadata Standardization for a Research Data Infrastructure in Catalysis.- Fast Predictions of Lattice Energies by Continuous Isometry Invariants of Crystal Structures.- Image Recognition for Large Soil Maps Archive Overview: Metadata Extraction and Georeferencing Tool Development.- Information Extraction from Text.- Cross-lingual Plagiarism Detection Method.- Methods for Automatic Argumentation Structure Prediction.- A System for Information Extraction from Scientific Texts in Russian.- Improving Neural Abstractive Summarization with Reliable Sentence Sampling.

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Book SynopsisThe volume LNAI 13546 constitutes the refereed proceedings of the 23rd Annual Conference Towards Autonomous Robotic Systems, TAROS 2022, held in Culham, UK, in September 2022. The 14 full papers and 10 short papers were carefully reviewed and selected from 38 submissions. Organized in the topical sections "Algorithms" and "Systems", they discuss significant findings and advances in the following areas: Robotic Grippers and Manipulation; Soft Robotics, Sensing and Mobile Robots; Robotic Learning, Mapping and Planning; Robotic Systems and Applications.Table of ContentsA distributed approach to haptic simulation.- A Novel Two-Hand-Inspired Hybrid Robotic End-Effector Fabricated Using 3D Printing.- Investigating the relationship between posture and safety in teleoperational tasks: A pilot study in improved operational safety through enhanced human-machine interaction.- Design and Analysis of an End Effector Using the Fin Ray Structure for Integrated Limb Mechanisms.- Trigger-Assisted Ambidextrous Control Framework for Teleoperation of Two Legged Manipulators.- Teleoperating a Legged Manipulator through Whole-Body Control.- In-silico Design and Computational Modelling of Electroactive Polymer based Soft Robotics.- Exploration of Underwater Storage Facilities with Swarm of Micro-Surface Robots.- Characterization of an Inflatable Soft Actuator and Tissue Interaction for In Vitro Mechanical Stimulation of Tissue.- EMap: Real-time terrain estimation.- Design and Preliminary In-Classroom Evaluation\\of a Low-Cost Educational Mobile Robot.- Internal State-based Risk Assessment for Robots in Hazardous Environment.- Investigating Scene Visibility Estimation within ORB-SLAM3.- Tactile and Proprioceptive Online Learning in Robotic Contour Following.- Learning cooperative behaviours in adversarial multi-agent systems.- Task Independent Safety Assessment for Reinforcement Learning.- Sensing Anomalies as Potential Hazards: Datasets and Benchmarks.- Integration and robustness analysis of the Buzz swarm programming language with the Pi-puck robot platform.- Implementing and assessing a remote teleoperation setup with a Digital Twin using cloud networking.- Agent-Based Simulation of Multi-Robot Soil Compaction Mapping.- A-EMS: An Adaptive Emergency Management System for Autonomous Agents in Unforeseen Situations.- Towards Scalable Multi-Robot Systems by Partitioning the Task Domain.- Effectiveness of brush operational parameters for robotic debris removal.- Automatic, Vision-Based Tool Changing Solution for Dexterous Teleoperation Robots in a Nuclear Glovebox

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Book SynopsisThis volume constitutes selected papers presented at the First International Conference on Engineering Software for Modern Challenges, ESMoC 2021, held in Johor, Malaysia, in October 20-21, 2021.The 17 papers presented were thoroughly reviewed and selected from the 167 submissions. They are organized in the topical sections on ​software engineering; intelligent systems; software quality. Table of ContentsSoftware Engineering.- Intelligent Systems.- Software Quality.

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Book SynopsisThis book constitutes revised selected papers from the 17th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2021, which was held virtually during November 15–17, 2021. The 19 papers included in these proceedings were carefully reviewed and selected from 26 submissions, and they focus on bioinformatics, computational biology, health informatics, cheminformatics, biotechnology, biostatistics, and biomedical imaging.Table of ContentsChemical Neural Networks and Synthetic Cell Biotechnology: Preludes to Chemical AI.- Development of Bayesian network for multiple sclerosis risk factor interaction analysis.- Real-Time Automatic Plankton Detection, Tracking and Classification on Raw Hologram.- The first in-silico model of leg movement activity during sleep.- Transfer learning and magnetic resonance imaging techniques for deep neural network-based diagnosis of early cognitive decline and dementia.- Improving bacterial sRNA identification by combining genomic context and sequence-derived features.- High-dimensional multi-trait GWAS by reverse prediction of genotypes using machine learning methods.- A Non-Negative Matrix Tri-Factorization based Method for Predicting Antitumor Drug Sensitivity.- A Rule-based Approach for Generating Synthetic Biological Pathways.- Machine Learning Classifiers based on Dimensionality Reduction Techniques for the Early Diagnosis of Alzheimer’s Disease using Magnetic Resonance Imaging and Positron Emission Tomography Brain Data.- Text Mining Enhancements for Image Recognition of Gene Names and Gene Relations.- Sentence Classification to Detect Tables for Helping Extraction of Regulatory Interactions in Bacteria.- RF-Isolation: a Novel Representation of Structural Connectivity Networks for Multiple Sclerosis Classification.- Summarizing Global SARS–CoV–2 Geographical Spread by Phylogenetic Multitype Branching Models.- Explainable AI Models for COVID-19 Diagnosis using CT-Scan Images and Clinical Data.- The need of standardised metadata to encode causal relationships: Towards safer data-driven machine learning biological solutions.- Deep Recurrent Neural Networks for the Generation of Synthetic Coronavirus Spike Protein Sequences.- Recent Dimensionality Reduction Techniques for High-Dimensional COVID-19 Data.- Soft brain ageing indicators based on light-weight LeNet-like neural networks and localized 2D brain age biomarkers.

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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 refereed proceedings of the 14th International Conference on ICT Innovations 2022. Reshaping the Future Towards a New Normal, ICT Innovations 2022, held in Skopje, Macedonia, during September 29–October 1, 2022. The 14 full papers and 1 short papers included in this book were carefully reviewed and selected from 42 submissions. They were organized in topical sections as follows: theoretical foundations and distributed computing; artificial intelligence and deep learning; applied artificial intelligence; education; and medical informatics.Table of ContentsThe New Normal: Innovative Informal Digital Learning after the Pandemic.- Theoretical foundations and distributed computing.- StegIm: Image in Image Steganography.- A Property of an Error-Detecting Code Based on Quasigroups.- Multi-access edge computing smart relocation approach from an NFV perspective.- Artificial intelligence and deep learning.- MACEDONIZER - The Macedonian Transformer Language Model.- Deep learning-based sentiment classification of social network texts in Amharic language.- Using centrality measures to extract knowledge from cryptocurrencies’ interdependencies networks.- Applied artificial intelligence.- Evaluating micro frontend approaches for code reusability.- Combining Static and Dynamic Features to Improve Longitudinal Image Retrieval for Alzheimer's Disease.- Architecture for collecting and analysing data from sensor devices.- Education.- Adapting a Web 2.0-based Course to a Fully Online Course and Readapting it Back for Face-to-Face Use.- Challenges and opportunities for women studying STEM.- Medical informatics.- Novel Methodology for Improving the Generalization Capability of Chemo-Informatics Deep Learning Models.- An exploration of Autism Spectrum Disorder classification from structural and functional MRI images.- Detection of High Noise Levels in Electrocardiograms.

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Book SynopsisThis book constitutes the refereed proceedings of the 18th International Conference on Web and Internet Economics, WINE 2022, which was held Troy, NY, USA in December 2022.The 19 full papers presented together with 19 abstracts in this volume were carefully reviewed and selected from 126 submissions. They were organized in topical sections as follows: theoretical computer science, artificial intelligence, economics, operations research, and applied mathematics.Table of ContentsEquilibria in Games.- Learning and Online Algorithms.- Mechanism Design.- Social Choice.- Abstracts.

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Book SynopsisThis book constitutes the refereed post-conference proceedings of the 5th EAI International Conference on Innovations and Interdisciplinary Solutions for Underserved Areas, InterSol 2022, held in Nile University of Nigeria Abuja, Nigeria, in March 2022. The 26 papers presented were selected from 66 submissions and issue different problems in underserved and unserved areas. They face problems in almost all sectors such as energy, water, communication, climate change, food, education, transportation, social development, and economic growth.Table of ContentsSustainable Development for Underserved Areas.- Effects of Noise Pollution on learning in Schools of Bamenda II Municipality, Northwest Region of Cameroon.- Hydro-meteorological Trends and Thermal comfort of Khartoum Sudan.- Community Water Projects Sustainability for Climate Change Resilience and Adaptation in Suam Catchment Area of West Pokot County, Kenya.- The Nigerian HealthCare Facilities: Need for Adopting Evidence-Based Design as an Innovative Approach for Improved Health and Wellbeing.- Artificial Intelligence (AI) and Machine Learning (ML) for Development.- An E-Nose Using Metal Oxide Semiconductor Sensors Array to Recognize the Odors of Fall Armyworm Pest For Its Early Detection in the Farm.- Prediction of process failure approach using process mining.- An AI-based Model for the Prediction of a newborn’s Sickle Cell Disease Status.- Study of an approach based on the analysis of computer program execution traces for the detection of vulnerabilities.- ICT for Development.- Comparative Evaluation on Sentiment Analysis Algorithms.- A new wavelet based steganography method for Securing medical Data.- A dual ring architecture using controllers for better load balancing in a Fog Computing environment.- Recommendation System for Carbon Reduction.- Engineering Impact on Sustainability Development.- Assessment of Heavy Metal Concentration of Municipal open-air Dumpsite: A case study of Gosa Dumpsite, Abuja.- Ten years after the Deepwater Horizon disaster - lessons learned for a better cementing job.- Generating Bioelectricity From Traditional Food Processing Wastewater Using An Inoculum Of Return Activated Sewage Sludge.- Application of molasses in improving water purification efficiency of diatomaceous earth-waste ceramic membranes.- Community Engagements and Collaboration.- The levels of crop raiding by rodents and primates in a subsistence farming community, in South Africa.- Survey on crop disease detection and identification based on deep learning.- Pest Birds Detection Approach in Rice Crops Using Pre-trained YOLOv4 Model.- Pest Birds Detection Approach in Rice Crops Using Pre-trained YOLOv4 Model.- Truncation effect of a three-dimensional compound parabolic concentrator on the solar flux at the input of the receiver of a 30 kWe solar tower power plant.- Renewable Energy Transition: A Panacea to the Ravaging Effects of Climate Change in Nigeria.- Investigation on Concrete with Partial Replacement of Aggregate from Demolition Waste.- Valorization of the recovered lime in cement-typha concretes: thermal and mechanical behavior.- Engineering and Science Education in Underserved Areas.- The Need for Nigerian Universities to Collaborate for Quality Research Output.- SenTekki: online platform and Restful Web service for translation between Wolof and French.- Towards an optimal placement of learning ressources in a fog computing based e-learning system : The case of UVS.

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Book SynopsisThis book constitutes the refereed post-conference proceedings of the 15th International Conference on Wireless Internet, WiCON 2022, held in November 2022. Due to COVID-19 pandemic the conference was held virtually. The 16 full papers were selected from 45 submissions and are grouped into the following topics: Security and privacy; blockchain and wireless networks; Resource management, routing, and internet computing; social networks and learning.Table of Contents​Security and Privacy.- Preventing Adversarial Attacks on Autonomous Driving Models.- Implementation Aspects of Supersingular Isogeny-Based Cryptographic Hash Function.- Trust-based Communities for Smart Grid Security and Privacy.- Decentralized federated learning: A defense against gradient inversion attack.- Blockchain and Wireless Networks.- A Framework for a Blockchain-Based Decentralized Data Marketplace.- Formulate Full View Camera Sensor Coverage by Using Group Set Coverage.- Delay-aware Hash Tree for Blockchain on Vehicular Delay Tolerant Networks.- Learning the Propagation of Worms in Wireless Sensor Networks.- Resource Management, Routing, and Internet Computing.- 5G Channel Forecasting and Power Allocation Based on LSTM Network and Cooperative Communication.- Fog Resource Sharing to enable Pay per Use Mode.- An Emergency Information Broadcast Routing in VANET.- IP Lookup Technology for Internet Computing.- Social Networks and Learning.- Equilibrium Strategies and Social Welfare in Cognitive Radio Networks with Imperfect Spectrum Sensing.- Spatial Temporal Graph Convolutional Network Model for Rumor Source Detection under Multiple Observations in Social Networks.- Addressing Class Imbalance in Federated Learning via Collaborative GAN-based Up-Sampling.- Deep-Steiner: Learning to Solve the Euclidean Steiner Tree Problem.

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Book SynopsisThis book constitutes the refereed post-conference proceedings of the workshops held at the 16th Asian Conference on Computer Vision, ACCV 2022, which took place in Macao, China, in December 2022. The 25 papers included in this book were carefully reviewed and selected from 40 submissions. They have been organized in topical sections as follows: Learning with limited data for face analysis; adversarial machine learning towards advanced vision systems; computer vision for medical computing; machine learning and computing for visual semantic analysis; vision transformers theory and applications; and deep learning-based small object detection from images and videos.Table of ContentsLearning with Limited Data for Face Analysis.- FAPN: Face Alignment Propagation Network for Face Video Super-Resolution.- Micro-expression recognition using a shallow ConvLSTM-based network.- Adversarial Machine Learning towards Advanced Vision Systems.- ADVFilter: Adversarial Example Generated by Perturbing Optical Path.- Enhancing Federated Learning Robustness Through clustering Non-IID Features.- Towards Improving the Anti-attack Capability of the RangeNet++.- Computer Vision for Medical Computing.- Ensemble Model of Visual Transformer and CNN Helps BA Diagnosis for Doctors in Underdeveloped Areas.- Understanding Tumor Micro Environment using Graph theory.- Handling Domain Shift for Lesion Detection via Semi-Supervised Domain Adaptation.- Photorealistic Facial Wrinkles Removal.- Improving Segmentation of Breast Arterial Calcifications from Digital Mammography: Good Annotation Is All You Need.- Machine Learning and Computing for Visual Semantic Analysis.- Towards Scene Understanding for Autonomous Operations on Airport Aprons.- Lightweight Hyperspectral Image Reconstruction Network with Deep Feature Hallucination.- A Transformer-based Model for Preoperative Early Recurrence Prediction of Hepatocellular Carcinoma with Muti-p.- CaltechFN: Distorted and Partially Occluded Digits.- Temporal Extension Topology Learning for Video-based Person Re-Identification.- Deep RGB-driven Learning Network for Unsupervised Hyperspectral Image Super-resolution.- Gift from nature: Potential Energy Minimization for explainable dataset distillation.- Object Centric Point Sets Feature Learning with Matrix Decomposition.- Aerial Image Segmentation via Noise Dispelling and Content Distilling.- Vision Transformers Theory and Applications.- Temporal Cross-attention for Action Recognition.- Transformer Based Motion In-Betweening.- Convolutional point Transformer.- Cross-Attention Transformer for Video Interpolation.- Deep Learning-Based Small Object Detection from Images and Videos.- Evaluating and Bench-marking Object Detection Models for Traffic Sign and Traffic Light Datasets.- Exploring Spatial-temporal Instance Relationships In an Intermediate Domain For Image-to-video Object Detection.

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Book SynopsisThis book constitutes the refereed proceedings of the 25th International Symposium on Formal Methods, FM 2023, which took place in Lübeck, Germany, in March 2023. The 26 full paper, 2 short papers included in this book were carefully reviewed and selected rom 95 submissions. They have been organized in topical sections as follows: SAT/SMT; Verification; Quantitative Verification; Concurrency and Memory Models; Formal Methods in AI; Safety and Reliability. The proceedings also contain 3 keynote talks and 7 papers from the industry day. Table of Contents​Keynotes.- Symbolic Computation in Automated Program Reasoning.- The next big thing: from embedded systems to embodied actors.- Intelligent and Dependable Decision-Making Under Uncertainty.- A Coq formalization of Lebesgue Induction Principle and Tonelli’s Theorem.- SAT/SMT.- Railway Scheduling Using Boolean Satisfiability Modulo Simulations.- SMT Sampling via Model-Guided Approximation.- Efficient SMT-based Network Fault Tolerance Verification.- Verification I.- Formalising the Prevention of Microarchitectural Timing Channels by Operating Systems.- Can we Communicate? Using Dynamic Logic to Verify Team Automata.- The ScalaFix equation solver.- HHLPy: Practical Verification of Hybrid Systems using Hoare Logic.- Quantitative Verification.- symQV: Automated Symbolic Verification of Quantum Programs.- PFL: a Probabilistic Logic for Fault Trees.- Energy Buechi Problems.- QMaude: quantitative specification and verification in rewriting logic.- Concurrency and Memory Models.- Minimisation of Spatial Models using Branching Bisimilarity.- Reasoning about Promises in Weak Memory Models with Event Structures.- A fine-grained semantics for arrays and pointers under weak memory models.- VeyMont: Parallelising Verified Programs instead of Verifying Parallel Programs.- Verification 2.- Verifying At the Level of Java Bytecode.- Abstract Alloy Instances.- Monitoring the Internet Computer.- Word Equations in Synergy with Regular Constraints.- Formal Methods in AI.- Verifying Feedforward Neural Networks for Classification in Isabelle/HOL.- SMPT: A Testbed for Reachabilty Methods in Generalized Petri Nets.- The Octatope Abstract Domain for Verification of Neural Networks.- Program Semantics and Verification Technique for AI-centred Programs.- Safety and Reliability.- Tableaux for Realizability of Safety Specifications.- A Decision Diagram Operation for Reachability.- Formal Modelling of Safety Architecture for Responsibility-AwareAutonomous Vehicle via Event-B Refinement.- A Runtime Environment for Contract Automata.- Industry Day.- Formal and Executable Semantics of the Ethereum Virtual Machine in Dafny.- Shifting Left for Early Detection of Machine-Learning Bugs.- A Systematic Approach to Automotive Security.- Specification-Guided Critical Scenario Identification for Automated Driving.- Runtime Monitoring for Out-of-Distribution Detection in Object Detection Neural Networks.- Backdoor Mitigation in Deep Neural Networks via Strategic Retraining.- veriFIRE: Verifying an Industrial, Learning-Based Wildfire Detection System.

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Book SynopsisThis proceedings constitutes the post-conference proceedings of the 3rd EAI International Conference on Cognitive Computing and Cyber Physical Systems, IC4S 2022, held at Vishnu Institute of Technology, Bhimavaram in Andhra Pradesh, India, in November 26-27, 2022. The theme of IC4S 2022 was: cognitive computing approaches with data mining and machine learning techniques. The 22 full papers were carefully reviewed and selected from 88 submissions. The papers are clustered in thematical issues as follows: machine learning and its applications; cyber security and networking; image processing; IoT applications; smart city eco-system and communications.Table of ContentsMachine Learning and Its applications.- SQL Injection and its detection using Machine Learning Algorithms and BERT.- Solar Energy Prediction Using Machine Learning With Support Vector Regression Algorithm.- Price Estimation of Used Cars using Machine Learning Algorithms.- MACHINE LEARNING FRAMEWORK FOR IDENTIFICATION OF ABNORMAL EEG SIGNAL.- ALZHEIMER’S DISEASE DETECTION USING ENSEMBLE OF CLASSIFIERS.- Cyber Security and Networking.- Publishing Data Objects in Data Aware Networking.- YouTube Comment Analysis using Lexicon based Techniques.- Information Theoretic Heuristics to Find the Minimal SOP Expression considering Don’t Care Using Binary Decision Diagrams.- Image Processing.- Single Image Dehazing through Feed Forward Artificial Neural Network.- Performance Evaluation of Multiwavelet Transform for Single Image Dehazing.- Performance Evaluation of Fast DCP Algorithm for Single Image Dehazing.- Non Destructive analysis of Crack using Image Processing, Ultrasonic and IRT: A critical review and analysis.- IoT Applications.- IoT Enabled Driver Compatible Cost-Effective System for Drowsiness Detection with Optimized Response Time.- Voice based Objects detection for visually challenged using Active RFID Technology.- Depth Estimation and Navigation Route Planning for Mobile Robots based on Stereo Camera.- Water Level Forecasting in Reservoirs using Time Series Analysis – Auto ARIMA Model.- Water Quality Monitoring using a Remote Control Boat.- Smart City Eco-system and Communications.- Study of Smart City Compatible Monolithic Quantum Well Photodetector.- Frequency Reconfigurable Antenna for 5G Applications at n77 and n78 Bands.- Analysis of Acoustic Channel Model Characteristics in Deep-Sea Water.- A Comprehensive Review on Channel Estimation Methods for Millimeter Wave MIMO Systems.- Comparison of Acoustic Channel Characteristics in Shallow and Deep-sea Water.

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Book SynopsisThis book constitutes the refereed proceedings of the 8th International Symposium, UNet 2022, held in Montreal, QC, Canada, during October 25–27, 2022. The 17 full papers included in this book were carefully reviewed and selected from 43 submissions. Moreover, 4 additional invited papers have been also considered. They were organized in topical sections as follows: ​Spectrum Management and Channel Prediction, Resource Allocation in 5G/6G, Internet of Things and Vehicular Communications, Artificial Intelligence-Driven Communications, Pervasive Services and Cyber Security.Table of ContentsSpectrum Management and Channel Prediction.- On the Influence of Microscopic Mobility in Modelling Pedestrian Communication.- Low Profile CPW Fed Tri-Band Millimeter Wave Antenna Design for Future 5G Application.- Trading off Controlled System Energy and Wireless Communication Energy.- Statistical Moments of the Temporal Spectrum of Electromagnetic Waves in the Equatorial Ionosphere.- Resource Allocation in 5G/6G.- Towards Facilitating URLLC in UAV-Enabled MEC Systems for 6G Networks.- Resource Allocation and Power Control for Heterogeneous Cellular Network and D2D Communications.- Optimized Network Coding With Real-Time Loss Prediction for Hybrid 5G Networks.- TCP-RTA: Real-Time Topology Adaptiveness for Congestion Control in TCP.- Rio_DSA: Redirecting I/O Scheme for Dynamic Storage Allocation on Docker Container.- Internet of Things and Vehicular Communications.- VANET-Based Traffic Light Management for an Emergency Vehicle.- Deep Reinforcement Learning to Improve Vehicle-to-Vulnerable Road User Communications in C-V2X.- Pervasive Computing for Efficient Intra-UAV Connectivity: Based on Context-Awareness.- Road Accident Analysis of Dhaka City Using Counter Propagation Network.- Artificial Intelligence-Driven Communications.- Reinforcement Learning for Protocol Synthesis in Resource-Constrained Wireless Sensor and IoT Networks.- Distributional Reinforcement Learning for VoLTE Closed Loop Power Control in Indoor Small Cells.- Reinforcement Learning Aided Routing in Tactical Wireless Sensor Networks.- A Green and Scalable Clustering for Massive IoT Sensors with Selective Deactivation.- Pervasive Services and Cyber Security.- Threat Mitigation Model With Low False Alarm Rate Based on Hybrid Deep Belief Network.- On Feature Selection Algorithms for Effective Botnet Detection.- A Novel Hybrid Deep Learning Model for Crop Disease Detection Using BEGAN.- Multivariate Skewness and Kurtosis for Detecting Wormhole Attack in VANETs.

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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 joint refereed proceedings of the 22nd International Conference on Internet of Things, Smart Spaces, and Next Generation Networks and Systems, NEW2AN 2022, held in Tashkent, Uzbekistan, in December 2022.The 58 regular papers presented in this volume were carefully reviewed and selected from 282 submissions. The papers of NEW2AN address various aspects of next-generation data networks, while special attention is given to advanced wireless networking and applications. In particular, the authors have demonstrated novel and innovative approaches to performance and efficiency analysis of 5G and beyond systems, employed game-theoretical formulations, advanced queuing theory, and machine learning. It is also worth mentioning the rich coverage of the Internet of Things, optics, signal processing, as well as digital economy and business aspects.Table of ContentsTangential shear stress in an oscillatory flow of a viscoelastic fluid in a flat channel.- Comparison of Finite Difference Schemes of Different Orders of Accuracy for the Burgers Wave Equation Problem.- Numerical solution of the combustion process using the computer package ANSYS fluent.- Simulation Modeling of Reliability of Packet Switching Unit.- Analytical Model for Assessing the Reliability of the Functioning of the Adaptive Switching Node.- Artificial intelligence software architecture in the field of cardiology and application in the cardio vessel project using CJM and customer development methods.- Using discretization and numerical methods of problem 1d-3d-1d model for blood vessel walls with Navier-Stokes.- Numerical simulation of a flow in a two-dimensional channel on the basis of a two-liquid turbulence model.- Application fuzzy neural network methods to detect cryptoattacks on financial information systems based on blockchain technology.- Method authentication of objects information communication systems.- TEDCTSSA: Trust Enabled Data Collection Technique based Sparrow Search Algorithm for WSN-based Applications.- ISTOA: An improved Sooty Tern Optimization Algorithm for multilevel threshold image segmentation.- Implementing digital transformation in the logistics system of Uzbekistan.- Numerical modeling of vertical axis wind turbines using ANSYS FLUENT software.- "i’ll wait 4 ur answr!” A Study on Modern Style of Cyber-Writing and User Reactions.- Improvement of information support in intelligent information energy systems.- The Assessment of the Effectiveness of the Development of Digital Technologies in Commercial Banks in Uzbekistan.- The Study of the Impact of the Digital Economy on the Growth of E-Government Services in Uzbekistan.- Deep learning algorithm for classifying dilated cardiomyopathy and hypertrophy cardiomyopathy in transport workers.- eCommerce benchmarking: theoretical background, variety of types, and application of competitive-integration benchmarking.- Cryptocurrencies as the money of the future.- A Data Security Technique Combining Asymmetric Cryptography and Compressive Sensing for IoT Enabled Wireless Sensor Networks.- Energy Efficient and Secure Scheme based Compressive Sensing method for Internet of Vehicles.- Impact of digital technologies on women’s employment.- The impact of digitalisation on the safe development of individuals in society.- Econometric Evaluation of the Efficiency of the Management of theEnterprise through the Supply of Raw Materials in Oil Enterprises in the Conditions of the Digital Economy.- The impact of digital infrastructure, foreign direct investment and trade openness on economic growth: In the case of Uzbekistan.- The impact of the financial ratios on the financial performance. A caseof Chevron Corporation (CVX).- The impact of the digitalisation of payment systems on the profitabilityof commercial banks.- The main aspects and benefits of digital transformation of business entities.- The influence of the capital structure of state enterprises on the profitability of the enterprise.- Exploring the development of China’s digital trade in the context of the domestic and international double cycle.- A systematic mapping study of using the cutting-edge technologies in marketing: the state of the art of four key new-age technologies.- Social Media Marketing for Educational Purposes: Goals, Objectivesand Content of the Training Course.- Digital Marketing and Smart Technology Marketing Systems as thefuture of metaverse.- The impact of the digital economy on the development of higher education.- What is the state-of-the-art contribution of the higher education system to the digital economy: a systematic mapping study on changes and challenges.- Innovating primary education of promoting students’ languagecompetencies through mobile assisted language learning approach: Selection framework of innovative digital technologies.- Econometric assessment of the dynamics of development of the export authority of small business and private business subjects in the conditions of the digital economy.- The significance of the Internet of Things for ensuring the smooth operation of network functions in fintech.- Impact of E-government on Poverty Rate: a Cross- Country Empirical Assessment.- An empirical investigation of the relationship between e-government development and multidimensional poverty.- On Digital Twin Software and Cyber Threats.- On local services based on non-standard Wi-Fi Direct usage model.- Compatibility analysis between 5G NR and ultra-wideband devices in the 6425-7125 MHz frequency band.- 6 GHz band sharing study for FWA base stations and GEO satellite receivers.- Federated Learning Strategies Over Wireless Channels.- Data Routing in UAV Networks with Multiple Data Sources using Steiner Tree.- Reduced complexity distributed arithmetic architecture for FIR filters.- Blockchain-driven Hybrid Model for IoT Authentication.- An Heuristic Approach for Mapping of Service Function Chains in Softwarized 5G Networks.- Multi-threshold hysteresis-Based Congestion Control for UAV-based Detection Sensor Network.- Analysis of the capacity gain of Probability Shaping QAM.- LoRa Mesh Network for Image Transmission: An Experimental Study.- Blockchain Technology – Innovation for Better Collaboration and Increased Efficieny. The U.S. Logistics and Trucking Industry Case.- Econometric Study of the Impact of the Digital Economy on the Gross Product in Anti-monopoly Conditions.- Predictive models for effective management of e- commerce in New Uzbekistan.- The role of IT on transportation, logistics and the economic growth among Central Asian countries.

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Book SynopsisThis book constitutes the proceedings of the 17th International Conference on Formal Concept Analysis, ICFCA 2023, which took place in Kassel, Germany, in July 2023.The 13 full papers presented in this volume were carefully reviewed and selected from 19 submissions. The International Conference on Formal Concept Analysis serves as a platform for researchers from FCA and related disciplines to showcase and exchange their research findings. The papers are organized in two topical sections, first "Theory" and second "Applications and Visualization".Table of Contents​Theory: Approximating fuzzy relation equations through concept lattices.- Doubly-Lexical Order Supports Standardisation and Recursive Partitioning of Formal Context.- Graph-FCA Meets Pattern Structures.- On the commutative diagrams among Galois connections involved in closure structures.- Scaling Dimension.- Three Views on Dependency Covers from an FCA Perspective.- A Triadic Generalisation of the Boolean Concept Lattice.- Applications and Visualization: Computing witnesses for centralising monoids on a three-element set.- Description Quivers for Compact Representation of Concept Lattices and Ensembles of Decision Trees.- Examples of clique closure systems.- On the maximal independence polynomial of the covering graph of the hypercube up to n=6.- Relational Concept Analysis in Practice: Capitalizing on Data Modeling using Design Patterns.- Representing Concept Lattices with Euler Diagrams.

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Book SynopsisThis book constitutes the refereed proceedings of the 24th Annual Conference Towards Autonomous Robotic Systems, TAROS 2023, held in Cambridge, UK, during September 13–15, 2023.The 40 full papers presented in this book were carefully reviewed and selected from 70 submissions.They cover a wide range of different topics such as: agri-food robotics; autonomy; collaborative and service robotics; locomotion and manipulation; machine vision; multi-robot systems; soft robotics; tactile sensing; and teleoperation.Table of Contents​Agri-food Robotics.- Plant phenotyping using DLT method: Towards retrieving the delicate features in a dynamic environment.- Rapid Development and Performance Evaluation of a Potato Planting Robot.- An Automated Precision Spraying Evaluation System.- Smart Parking System Using Heuristic Optimization For Autonomous Transportation Robots In Agriculture.- Closed-Loop Robotic Cooking of Soups with Multi-modal Taste Feedback.- Folding Morphing-wheg Duct-entry Robot for Nuclear Characterisation.- Autonomy.- Occupancy Map Abstraction for Higher Level Mission Planning of Autonomous Robotic Exploration in Hazardous Nuclear Environments.- Spiral Sweeping Protocols for Detection of Smart Evaders.- Action Recognition for Improving Pedestrian Intent Prediction.- Evaluation of SLAM algorithms for Search and Rescue applications.- Developing an Integrated Runtime Verification for Safety and Security of Industrial Robot Inspection System.- Collaborative and Service Robotics.- Sonification of Ionising Radiation Data for Robot Operators.- Automating a Telepresence Robot for Human Detection, Tracking, and Following.- Towards Multimodal Sensing and Interaction for Assistive Autonomous Robots.- Locomotion and Manipulation.- CPG-based locomotion control of a quadruped robot with an active spine.- Low-resolution sensing for sim-to-real complex terrain robots.- Towards wait-and-catch routine of a dynamic swinging object using a prototype robotic arm manipulator.- Simultaneous Base and Arm Trajectories for Multi-Target Mobile Agri-Robot.- Design and kinematic analysis of a 3D-printed 3DOF robotic manipulandum.- Sim-to-Real Deep Reinforcement Learning with Manipulators for Pick-and-place.- Machine Vision.- Fast 3D Semantic Segmentation Using a Self Attention Network and Random Sampling.- An assessment of self-supervised learning for data efficient potato instance segmentation.- Automated 3D Mapping, localization and pavement inspection with low cost RGB-D cameras and IMUs.- Optimized Custom Dataset for Efficient Detection of Underwater Trash.- A Geometric Algebra Solution to the 3D Registration Problem.- Active Anomaly Detection for Autonomous Robots: a Benchmark.- Multi-robot Systems.- Hardware Validation of Adaptive Fault Diagnosis in Swarm Robots.- Mobile Robots For Collaborative Manipulation Over Uneven Ground Using Decentralised Impedance Control.- Multi-agent Collaborative Target Search Based on Curiosity Intrinsic Motivation.- Simulation of Collective Bernoulli-Ball System for Characterizing Dynamic Self-stability.- Soft Robotics.- Casting vs injection moulding: a comparison study for in-lab low-cost soft robot fabrication.- Estimation of Soft Body Deformation by Using Light.- Reduced-Order Modeling of a Soft Anthropomorphic Finger for Piano Keystrokes.- Tactile Sensing.- Multi-directional Force and Tactile Sensor Sleeves for Micro Catheters and Cannulas.- Towards smooth human-robot handover with a vision-based tactile sensor.- Feeling Good: Validation of Bilateral Tactile Telemanipulation for a Dexterous Robot.- Teleoperation.- Comparative study of hand-tracking and traditional control interfaces for remote palpation.- 5G-based Low-Latency Teleoperation: Two-way Timeout Approach.- Generative Model-based Simulation of Driver Behavior when Using Control Input Interface for Teleoperated Driving in Unstructured Canyon Terrains.- Implementation of a Stereo Vision System for a Mixed Reality Robot Teleoperation Simulator.

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Book SynopsisThis book focuses in detail on data science and data analysis and emphasizes the importance of data engineering and data management in the design of big data applications. The author uses patterns discovered in a collection of big data applications to provide design principles for hypothesis generation, integrating big data processing and management, machine learning and data mining techniques. The book proposes and explains innovative principles for interpreting hypotheses by integrating micro-explanations (those based on the explanation of analytical models and individual decisions within them) with macro-explanations (those based on applied processes and model generation). Practical case studies are used to demonstrate how hypothesis-generation and -interpretation technologies work. These are based on “social infrastructure” applications like in-bound tourism, disaster management, lunar and planetary exploration, and treatment of infectious diseases. The novel methods and technologies proposed in Hypothesis Generation and Interpretation are supported by the incorporation of historical perspectives on science and an emphasis on the origin and development of the ideas behind their design principles and patterns. Academic investigators and practitioners working on the further development and application of hypothesis generation and interpretation in big data computing, with backgrounds in data science and engineering, or the study of problem solving and scientific methods or who employ those ideas in fields like machine learning will find this book of considerable interest.Table of ContentsBasic Concept.- Hypothesis.- Science and Hypothesis.- Regression.- Machine Learning and Integrated Approach.- Hypothesis Generation by Difference.- Methods for Integrated Hypothesis Generation.- Interpretation.

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Book SynopsisThis book constitutes the refereed proceedings of the 19th International Conference on Advanced Data Mining and Applications, ADMA 2023, held in Shenyang, China, during August 21–23, 2023.The 216 full papers included in this book were carefully reviewed and selected from 503 submissions. They were organized in topical sections as follows: Data mining foundations, Grand challenges of data mining, Parallel and distributed data mining algorithms, Mining on data streams, Graph mining and Spatial data mining.Table of ContentsPharmaceutical Data Analysis.- Drug-target interaction prediction based on drug subgraph fingerprint extraction strategy and subgraph attention mechanism.- Soft Prompt Transfer for Zero-Shot and Few-Shot Learning in EHR Understanding.- Graph Convolution Synthetic Transformer for Chronic Kidney Disease Onset Prediction.- MTFL: Multi-task feature learning with joint correlation structure learning for Alzheimer’s disease cognitive performance prediction.- Multi-Level Transformer for Cancer Outcome Prediction in Large-Scale Claims Data.- Individual Functional Network Abnormalities Mapping via Graph Representation-based Neural Architecture Search.- A novel application of a mutual information measure for analysing temporal changes in healthcare network graphs.- Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation.- Text Classification.- ParaNet:Parallel Networks with Pre-trained Models for Text Classification.- Open Text Classification Based on Dynamic Boundary Balance.- A Prompt Tuning Method for Chinese Medical Text Classification.- TabMentor: Detect Errors on Tabular Data with Noisy Labels.- Label-aware Hierarchical Contrastive Domain Adaptation for Cross-network Node Classification.- Semi-supervised classification based on Graph Convolution Encoder Representations from BERT.- Global Balanced Text Classification for Stable Disease Diagnosis.- Graph.- Dominance Maximization in Uncertain Graphs.- LAGCL: Towards Stable and Automated Graph Contrastive Learning.- Discriminative Graph-level Anomaly Detection via Dual-students-teacher Model.- Common-Truss-based Community Search on Multilayer Graphs.- Learning To Predict Shortest Path Distance.- Efficient Regular Path Query Evaluation with Structural Path Constraints.EnSpeciVAT: Enhanced SpeciVAT for Cluster Tendency Identification in Graphs.- Pessimistic Adversarially Regularized Learning for Graph Embedding.- M2HGCL: Multi-Scale Meta-Path Integrated Heterogeneous Graph Contrastive Learning.

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Book SynopsisThis volume comprises the proceedings of the International Workshop, ShapeMI 2023, which took place alongside MICCAI 2023 on October 8, 2023, in Vancouver, British Columbia, Canada.The 23 selected full papers deal with all aspects of leading methods and applications for advanced shape analysis and geometric learning in medical imaging.Table of ContentsAnatomy Completor: A Multi-class Completion Framework for 3D Anatomy Reconstruction.- C3Fusion: Consistent Contrastive Colon Fusion, Towards Deep SLAM in Colonoscopy.- Anatomy-Aware Masking for Inpainting in Medical Imaging.- Particle-Based Shape Modeling for Arbitrary Regions-of-Interest.- Optimal coronary artery segmentation based on transfer learning and UNet architecture.- Unsupervised Learning of Cortical Surface Registration using Spherical Harmonics.- Unsupervised correspondence with combined geometric learning and imaging for radiotherapy applications.- ADASSM: Adversarial Data Augmentation in Statistical Shape Models From Images.- Body Fat Estimation from Surface Meshes using Graph Neural Networks.- Geometric Learning-Based Transformer Network for Estimation of Segmentation Errors.- On the Localization of Ultrasound Image Slices within Point Distribution Models.- FSJP-Net: Foreground and Shape Joint Perception Network for Glomerulus Detection.- Progressive DeepSSM: Training Methodology for Image-To-Shape Deep Models.- Muscle volume quantification: guiding transformers with anatomical priors.- Geodesic Logistic Analysis of Lumbar Spine Intervertebral Disc Shapes in Supine and Standing Positions.- SlicerSALT: From medical images to quantitative insights of anatomy.- Predicting Shape Development: A Riemannian Method.- AReg IOS: Automatic Registration on IntraOralScans.- Modeling Longitudinal Optical Coherence Tomography Images for Monitoring and Analysis of Glaucoma Progression.- IcoConv : Explainable brain cortical surface analysis for ASD classification.- DeCA: A Dense Correspondence Analysis Toolkit for Shape Analysis.- 3D Shape Analysis of Scoliosis.- SADIR: Shape-Aware Diffusion Models for 3D Image Reconstruction.

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Book SynopsisThe two-volume set LNCS 14388 and 14389 constitutes the refereed proceedings of the 9th Russian Supercomputing Days International Conference (RuSCDays 2023) held in Moscow, Russia, during September 25-26, 2023.The 44 full papers and 1 short paper presented in these proceedings were carefully reviewed and selected from 104 submissions. The papers have been organized in the following topical sections: supercomputer simulation; distributed computing; and HPC, BigData, AI: algorithms, technologies, evaluation.Table of Contents​Supercomputer Simulation: Application of HPC for Simulation of Sealant Influence on the Aircraft Assembly Process.- Block Algebraic Multigrid Method for Saddle-Point Problems of Various Physics.- Computational Efficiency of Iterative Methods for Solving Inverse Problems of Ultrasound Tomography.- Computer Memory Requirements for Matrix-Forming Approach to Global Stability Analysis of Fluid Flows.- CubicEoS.jl: Extensible, Open-Source Isothermal Phase Equilibrium Calculations for Fluids.- Efficiency and Accuracy of High-performance Calculations of the Electrostatic Energy of Thin Films Atomistic Clusters.- Field-Split Iterative Solver vs Direct One for Quasi-Static Biot Equation.- GPU-Accelerated Matrix Exponent for Solving 1D Time-Dependent Schrodinger Equation.- How to Make Lanczos-Montgomery Fast on Modern Supercomputers?.- Multi-Node GPU-Enabled Pseudo-Spectral Solver for Turbulence Problems.- Multicriteria Optimization of Chemical Reactions Using Interval Analysis. Parallel Scheme for Implementing the Computational Process.- Parallel Numerical Implementation 3D Wave Hydrodynamics and SWAN Models.- Parallel Numerical Simulation of Sonic Log for 3D Heterogeneous TTI Media.- Quantum-Chemical Study of Some Tris(pyrrolo)benzenes and Tris(pyrrolo)-1,3,5-triazines.- Reduced Precision Computations in the SL-AV Global Atmosphere Model.- Scalability of the INM RAS Earth System Model.- Simulation of Free-Surface Fluid Dynamics: Parallelization for GPUs.- Software Package USPARS for Large Sparse Systems of Linear Equations.- Supercomputer Search for Coagulation Factor XIIa Inhibitors in the Chinese National Compound Library.- Supercomputer Technologies for Ultrasound Nondestructive Imaging of Low-contrast Defects in Solids.- The Effect of Data Structuring on the Parallel Efficiency of the HydroBox3D Relativistic Code.- The Efficiency Optimization Study of a Geophysical Code on Manycore Computing Architectures.- Using Parallel Technologies to Calculate Fluid Dynamic Processes in a Fractured-Porous Reservoir Taking into Account Non-Isothermality.

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Book SynopsisThis book constitutes the proceedings of the 11th International Conference on Big Data and Artificial Intelligence, BDA 2023, held in Delhi, India, during December 7–9, 2023. The17 full papers presented in this volume were carefully reviewed and selected from 67 submissions. The papers are organized in the following topical sections: ​Keynote Lectures, Artificial Intelligence in Healthcare, Large Language Models, Data Analytics for Low Resource Domains, Artificial Intelligence for Innovative Applications and Potpourri. Table of Contents​Keynote Lectures.- Representation Learning for Dialog Models.- Sparsity, modularity, and structural plasticity in deep neural networks.- Artificial Intelligence in Healthcare.- Tuberculosis disease diagnosis using controlled super resolution.- GREAT AI in Medical Appropriateness and Value-Based-Care.- Large Language Models.- KG-CTG: Citation Generation through Knowledge Graph-guided Large Language Models.- SciPhyRAG - Retrieval Augmentation to Improve LLMs on Physics Q&A.- Revolutionizing High School Physics Education: A Novel Dataset.- Context-Enhanced Language Models for Generating Multi-Paper Citations.- GEC-DCL: Grammatical Error Correction Model with Dynamic Context Learning for Paragraphs & Scholarly Papers.- Data Analytics for Low Resource Domains.- A Deep Learning Emotion Classification Framework for Low Resource Languages.- Assessing the Efficacy of Synthetic Data for Enhancing Machine Translation Models in Low Resource Domains.- Artificial Intelligence for Innovative Applications.- Evaluation of Hybrid Quantum Approximate Inference Methods on Bayesian Networks.- IndoorGNN: A Graph Neural Network based approach for Indoor Localization using WiFi RSSI.- Ensemble-Based Road Surface Crack Detection: A Comprehensive Approach.- Potpourri.- Fast similarity search in large-scale Iris databases using high-dimensional hashing.- Explaining Finetuned Transformers on Hate Speech Predictions using Layerwise Relevance Propagation.- Multilingual Speech Sentiment Recognition using Spiking Neural Networks.- FopLAHD: Federated optimization using Locally Approximated Hessian Diagonal.- A Review of Approaches on Facets for Building IT-based Career Guidance Systems.

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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 SynopsisSocial network analysis increasingly bridges the discovery of patterns in diverse areas of study as more data becomes available and complex. Yet the construction of huge networks from large data often requires entirely different approaches for analysis including; graph theory, statistics, machine learning and data mining. This work covers frontier studies on social network analysis and mining from different perspectives such as social network sites, financial data, e-mails, forums, academic research funds, XML technology, blog content, community detection and clique finding, prediction of user’s- behavior, privacy in social network analysis, mobility from spatio-temporal point of view, agent technology and political parties in parliament. These topics will be of interest to researchers and practitioners from different disciplines including, but not limited to, social sciences and engineering.Table of ContentsA Randomized Approach for Structural and Message based Private Friend Recommendation in Online Social Networks; B. K. Samanthula, W.Jiang.- Context Based Semantic Relations in Tweets; O. Ozdikis et al.- Fast exact and approximate computation of betweenness centrality in social networks; M. Baglioni et al.- Network Simulation; E. Franchi.- Early Stage Conversation Catalysts on Entertainment-Based Web Forums; J. Lanagan et al.- Predicting Users Behaviours in Distributed Social Networks Using Community Analysis ; B. Ngonmang et al.- What should we protect? Defining differential privacy for social network analysis; C. Task, C.Clifton.- Complex Network Analysis of Research Funding: A Case Study of NSF Grants; H. Kardes et al.- Community Evolutionary Events in Online Social Networks; M. Abulaish, S. Yousuf Bhat.-@Rank: Personalized Centrality Measure for Email Communication Networks; P. Lubarski, M. Morzy.-Twitter Sentiment Analysis: How To Hedge Your Bets In The Stock Markets; T.Rao, S. Srivastava.- The Impact of Measurement Time on Subgroup Detection in Online Communities; S. Zeini et al.- Spatial and Temporal Evaluation of Network-Based Analysis of Human Mobility; M. Coscia et al.- An Ant based Particle Swarm Optimization Algorithm for Maximum Clique Problem in Social networks; M. Soleimani-pouri et al.- XEngine: An XML Search Engine for Social Groups; K.Taha.- Size, diversity and components in the network around an entrepreneur: Shaped by culture and shaping embeddedness of firm relations; M. Cheraghi, T.Schott .- Content Mining of Microblogs; M.Ö. Cingiz, B. Diri.

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Book SynopsisThis book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to users based on their previous searches or purchases. Recommender system methods have been adapted to diverse applications including query log mining, social networking, news recommendations, and computational advertising. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. The chapters of this book are organized into three categories: Algorithms and evaluation: These chapters discuss the fundamental algorithms in recommender systems, including collaborative filtering methods, content-based methods, knowledge-based methods, ensemble-based methods, and evaluation. Recommendations in specific domains and contexts: the context of a recommendation can be viewed as important side information that affects the recommendation goals. Different types of context such as temporal data, spatial data, social data, tagging data, and trustworthiness are explored. Advanced topics and applications: Various robustness aspects of recommender systems, such as shilling systems, attack models, and their defenses are discussed. In addition, recent topics, such as learning to rank, multi-armed bandits, group systems, multi-criteria systems, and active learning systems, are introduced together with applications. Although this book primarily serves as a textbook, it will also appeal to industrial practitioners and researchers due to its focus on applications and references. Numerous examples and exercises have been provided, and a solution manual is available for instructors.Trade Review“Charu Aggarwal, a well-known, reputable IBM researcher, has taken the time to distill the advances in the design of recommender systems since the advent of the web … . Extensive bibliographic notes at the end of each chapter and more than 700 references in the book bibliography make this monograph an excellent resource for both practitioners and researchers. … Without a doubt, this is an excellent addition to my bookshelf!” (Fernando Berzal, Computing Reviews, February, 2017)Table of ContentsAn Introduction to Recommender Systems.- Neighborhood-Based Collaborative Filtering.- Model-Based Collaborative Filtering.- Content-Based Recommender Systems.- Knowledge-Based Recommender Systems.- Ensemble-Based and Hybrid Recommender Systems.- Evaluating Recommender Systems.- Context-Sensitive Recommender Systems.- Time- and Location-Sensitive Recommender Systems.- Structural Recommendations in Networks.- Social and Trust-Centric Recommender Systems.- Attack-Resistant Recommender Systems.- Advanced Topics in Recommender Systems.

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Book SynopsisThis illuminating text/reference surveys the state of the art in data science, and provides practical guidance on big data analytics. Expert perspectives are provided by authoritative researchers and practitioners from around the world, discussing research developments and emerging trends, presenting case studies on helpful frameworks and innovative methodologies, and suggesting best practices for efficient and effective data analytics. Features: reviews a framework for fast data applications, a technique for complex event processing, and agglomerative approaches for the partitioning of networks; introduces a unified approach to data modeling and management, and a distributed computing perspective on interfacing physical and cyber worlds; presents techniques for machine learning for big data, and identifying duplicate records in data repositories; examines enabling technologies and tools for data mining; proposes frameworks for data extraction, and adaptive decision making and social media analysis.Trade Review“This title presents recent research and future trends in the area of big data. … It will be of value to students and researchers looking for research topics and to data scientists exploring ongoing work in the field of big data. Summing Up: Recommended. Graduate students; faculty and professionals.” (C. Tappert, Choice, Vol. 54 (7), March, 2017)Table of ContentsPart I: Data Science Applications and Scenarios An Interoperability Framework and Distributed Platform for Fast Data ApplicationsJosé Carlos Martins Delgado Complex Event Processing Framework for Big Data ApplicationsRenta Chintala Bhargavi Agglomerative Approaches for Partitioning of Networks in Big Data ScenariosAnupam Biswas, Gourav Arora, Gaurav Tiwari, Srijan Khare, Vyankatesh Agrawal and Bhaskar Biswas Identifying Minimum-Sized Influential Vertices on Large-Scale Weighted Graphs: A Big Data PerspectiveYing Xie, Jing (Selena) He and Vijay V. Raghavan Part II: Big Data Modelling and Frameworks A Unified Approach to Data Modelling and Management in Big Data EraCatalin Negru, Florin Pop, Mariana Mocanu and Valentin Cristea Interfacing Physical and Cyber Worlds: A Big Data PerspectiveZartasha Baloch, Faisal Karim Shaikh and Mukhtiar A. Unar Distributed Platforms and Cloud Services: Enabling Machine Learning for Big DataDaniel Pop, Gabriel Iuhasz and Dana Petcu An Analytics Driven Approach to Identify Duplicate Bug Records in Large Data RepositoriesAnjaneyulu Pasala, Sarbendu Guha, Gopichand Agnihotram, Satya Prateek B and Srinivas Padmanabhuni Part III: Big Data Tools and Analytics Large Scale Data Analytics Tools: Apache Hive, Pig and HBaseN. Maheswari and M. Sivagami Big Data Analytics: Enabling Technologies and ToolsMohanavadivu Periasamy and Pethuru Raj A Framework for Data Mining and Knowledge Discovery in Cloud ComputingDerya Birant and Pelin Yıldırım Feature Selection for Adaptive Decision Making in Big Data AnalyticsJaya Sil and Asit Kumar Das Social Impact and Social Media Analysis Relating to Big DataNirmala Dorasamy and Nataša Pomazalová

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Book SynopsisThis textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the keystone of data analytics and the focal point of this textbook. Clear and intuitive explanations of the mathematical and statistical foundations make the algorithms transparent. But practical data analytics requires more than just the foundations. Problems and data are enormously variable and only the most elementary of algorithms can be used without modification. Programming fluency and experience with real and challenging data is indispensable and so the reader is immersed in Python and R and real data analysis. By the end of the book, the reader will have gained the ability to adapt algorithms to new problems and carry out innovative analyses.This book has three parts:(a) Data Reduction: Begins with the concepts of data reduction, data maps, and information extraction. The second chapter introduces associative statistics, the mathematical foundation of scalable algorithms and distributed computing. Practical aspects of distributed computing is the subject of the Hadoop and MapReduce chapter.(b) Extracting Information from Data: Linear regression and data visualization are the principal topics of Part II. The authors dedicate a chapter to the critical domain of Healthcare Analytics for an extended example of practical data analytics. The algorithms and analytics will be of much interest to practitioners interested in utilizing the large and unwieldly data sets of the Centers for Disease Control and Prevention's Behavioral Risk Factor Surveillance System.(c) Predictive Analytics Two foundational and widely used algorithms, k-nearest neighbors and naive Bayes, are developed in detail. A chapter is dedicated to forecasting. The last chapter focuses on streaming data and uses publicly accessible data streams originating from the Twitter API and the NASDAQ stock market in the tutorials.This book is intended for a one- or two-semester course in data analytics for upper-division undergraduate and graduate students in mathematics, statistics, and computer science. The prerequisites are kept low, and students with one or two courses in probability or statistics, an exposure to vectors and matrices, and a programming course will have no difficulty. The core material of every chapter is accessible to all with these prerequisites. The chapters often expand at the close with innovations of interest to practitioners of data science. Each chapter includes exercises of varying levels of difficulty. The text is eminently suitable for self-study and an exceptional resource for practitioners.Trade Review“This 430-page book contains an excellent collection of information on the subject of practical algorithms used in data science. The discussion of each algorithm starts with some basic concepts, followed by a tutorial with real datasets and detailed code examples in Python or R. Each chapter has a set of exercise problems so readers can practice the concepts learned in the chapter. … a good reference for practitioners, or a good textbook for graduate or upper-class undergraduate students.” (Xiannong Meng, Computing Reviews, September, 2017)“This textbook on practical data analytics unites fundamental principles, algorithms, and data. … this book is devoted to upper-division undergraduate and graduate students in mathematics, statistics, and computer science. It is intended for a one- or two-semester course in data analytics and reflects the authors’ research experience in data science concepts and the teaching skills in various areas. … The text is eminently suitable for self-study and an exceptional resource for practitioners.” (Krzysztof J. Szajowski, zbMATH 1367.62005, 2017) Table of ContentsIntroduction.- Data Mapping and Data Dictionaries.- Scalable Algorithms and Associative Statistics.- Hadoop and MapReduce.- Data Visualization.- Linear Regression Methods.- Healthcare Analytics.- Cluster Analysis.- k-Nearest Neighbor Prediction Functions.- The Multinomial Naive Bayes Prediction Function.- Forecasting.- Real-time Analytics.

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Book SynopsisThe book offers a timely snapshot of neural network technologies as a significant component of big data analytics platforms. It promotes new advances and research directions in efficient and innovative algorithmic approaches to analyzing big data (e.g. deep networks, nature-inspired and brain-inspired algorithms); implementations on different computing platforms (e.g. neuromorphic, graphics processing units (GPUs), clouds, clusters); and big data analytics applications to solve real-world problems (e.g. weather prediction, transportation, energy management). The book, which reports on the second edition of the INNS Conference on Big Data, held on October 23–25, 2016, in Thessaloniki, Greece, depicts an interesting collaborative adventure of neural networks with big data and other learning technologies.Table of ContentsPredicting human behavior based on web search activity: Greek referendum of 2015.- Compact Video Description and Representation for Automated Summarization of Human Activities.- Attribute Learning for Network Intrusion Detection.- A Fast Deep Convolutional Neural Network for face detection in Big Visual Data.- Learning Symbols by Neural Network.- Designing HMMs models in the age of Big Data.- Extended Formulations for Online Action Selection on Big Action Sets.- Multi-Task Deep Neural Networks for Automated Extraction of Primary Site and Laterality Information from Cancer Pathology Reports.- An infrastructure and approach for infering knowledge over Big Data in the Vehicle Insurance Industry.- Unified Retrieval Model of Big Data.- Adaptive Elitist Differential Evolution Extreme Learning Machines on Big Data: Intelligent Recognition of Invasive Species.

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Book SynopsisMachine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing future benefits in improved medical diagnoses, disease analyses, and pharmaceutical development. However, successful ML for HI needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to visualization. Tackling complex challenges needs both disciplinary excellence and cross-disciplinary networking without any boundaries. Following the HCI-KDD approach, in combining the best of two worlds, it is aimed to support human intelligence with machine intelligence. This state-of-the-art survey is an output of the international HCI-KDD expert network and features 22 carefully selected and peer-reviewed chapters on hot topics in machine learning for health informatics; they discuss open problems and future challenges in order to stimulate further research and international progress in this field.Table of ContentsMachine Learning for Health Informatics.- Bagging Soft Decision Trees.- Grammars for Discrete Dynamics.- Empowering Bridging Term Discovery for Cross-domain Literature Mining in the TextFlows Platform.- Visualisation of Integrated Patient-Centric Data as Pathways: Enhancing Electronic Medical Records in Clinical Practice.- Deep learning trends for focal brain pathology segmentation in MRI.- Differentiation between Normal and Epileptic EEG using K-Nearest-Neighbors Technique.- Survey on Feature Extraction and Applications of Biosignals.- Argumentation for knowledge representation, conflict resolution, defeasible inference and its integration with machine learning.- Machine Learning and Data mining Methods for Managing Parkinson’s Disease.- Challenges of Medical Text and Image Processing: Machine Learning Approaches.- Visual Intelligent Decision Support Systems in the medical field: design and evaluation.

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Book SynopsisThis engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com) Trade Review “The book is more than a typical manual. In fact, the author himself designates it as a textbook for an introductory course on data science. The chapters are richly equipped with exercises. The topics are always explained starting with a proper motivation and continuing with practical examples. This is perhaps the most outstanding feature of the book. It can serve as a regular textbook for an academic course. In fact, I should like to recommend it exactly for this purpose. On the other hand, it provides a wealth of material for people from industry, such as software engineers, and can serve as a manual for them to accomplish data science tasks. It should be noted that the book is not just a text, but a much more complex product, including a full set of lecture slides available online as well as a solutions wiki.” (P. Navrat, Computing Reviews, February, 23, 2018) ​Table of ContentsWhat is Data Science? Mathematical Preliminaries Data Munging Scores and Rankings Statistical Analysis Visualizing Data Mathematical Models Linear Algebra Linear and Logistic Regression Distance and Network Methods Machine Learning Big Data: Achieving Scale

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