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• Chap I Introduction to Cloud/Edge Computing
• Chap II Big Data Analytics and Security over the Cloud: Characteristics, Analytics, Integration and Security
• Chap III Federated Learning enabled Edge computing
• security for Internet of Medical Things: Concepts, Challenges and Open issues
• Chap IV Embedded Edge and Cloud Intelligence
• Chap V The Analysis on Impact of Cyber Security Threats on Smart Grids
• Chap VI Intelligent Intrusion Detection algorithm based on multi-attack for Edge-Assisted Internet of Things
• Chap VII Secure Data Analysis and Data Privacy
• Chap VIII A Novel Trust evaluation and Reputation data Management based Security System Model for Mobile Edge Computing Network
• Chap IX Network Security System in Mobile Edge Computing-to-IoMT Networks using Distributed Approach
• Chap X Wireless and Mobile Security in Edge Computing
• Chap XI An intelligent facial expression recognizer using modified 1 ResNet-110 using Edge Computing
• Chap XII Blockchain Based Simulated Virtual Machine Placement Hybrid Approach for Decentralized cloud and edge computing environment and Edge Computing

This book offers the latest research results in security and privacy for Intelligent Edge Computing Systems. It presents state-of-the art content and provides an in-depth overview of the basic background in this related field. Practical areas in both security and risk analysis are addressed as well as connections directly linked to Edge Computing paradigms. This book also offers an excellent foundation on the fundamental concepts and principles of security, privacy and risk analysis in Edge Computation infrastructures. It guides the reader through the core ideas with relevant ease. Edge Computing has burst onto the computational scene offering key technologies for allowing more flexibility at the edge of networks. As Edge Computing has evolved as well as the need for more in-depth solutions in security, privacy and risk analysis at the edge. This book includes various case studies and applications on Edge Computing. It includes the Internet of Things related areas, such as smart cities, blockchain, mobile networks, federated learning, cryptography and cybersecurity. This book is one of the first reference books covering security and risk analysis in Edge Computing Systems. Researchers and advanced-level students studying or working in Edge Computing and related security fields will find this book useful as a reference. Decision makers, managers and professionals working within these fields will want to purchase this book as well.

• 1. Smart City Ecosystem -
• An Introduction.- 2. Datafication for
• secured smart cities.- 3. Secured big data
• infrastructure services.- 4. Intelligent infrastructure of secured smart cities.- 5. Cyber-physical systems for secured smart cities.- 6. Blockchain for smart cities.- 7. Context-aware security and privacy of smart cities.- 7. Privacy and social Issues in smart cities.- 8. Sensor and RFID applications of smart cities.- 9. Advanced data mining for secured smart cities.- 10. Big data for secured smart cities.- 11. Data analytics tools and technologies for smart cities.- 12. Machine learning and AI for secured smart cities.
• (source: Nielsen Book Data)

This book provides information on data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart cities. This book aims to attract works on multidisciplinary research spanning across the computer science and engineering, environmental studies, services, urban planning and development, social sciences and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative solutions and big data-powered applications to cope with the real world challenges for building smart cities.
(source: Nielsen Book Data)

• Knowledge Discovery and Pattern Mining.- Fast Mining of Top-k Frequent Balanced Association Rules.- Towards Increasing Open Data Adoption through Stream Data Integration and Imputation.- Towards Efficient Discovery of Periodic-Frequent Patterns in Columnar Temporal Databases.- Data-Driven Simulation of Ride-Hailing Services using Imitation and Reinforcement Learning.- Discovering Spatial High Utility Itemsets in High-Dimensional Spatiotemporal Databases.- A Single-Stage Tree-Structure-Based Approach to Determine Fuzzy Average-Utility Itemsets.- Mining Episode Rules From Event Sequences Under Non-Overlapping Frequency.- Distributed mining of high utility time interval sequential patterns with multiple minimum utility thresholds.- Artificial Intelligence and Machine Learning.- Emergency Analysis: Multitask Learning with Deep Convolutional Neural Networks for Fire Emergency Scene Parsing.- Comparison of Consolidation Methods for Predictive Learning of Time Series.- Evolutionary Optimization of Convolutional Neural Network Architecture Design for Thoracic X-Ray Image Classification.- Understanding the Effects of Mitigation on De-identified Data.- Combining Siamese Network and Correlation Filter for Complementary Object Tracking.- Closed-Form Expressions for Global and Local Interpretation of Tsetlin Machines.- Explainable Reinforcement Learning with the Tsetlin Machine.- Sematic, Topology, and Ontology Models.- Semantic Technologies towards Missing Values Imputation.- An Improved Integer Programming Formulation for Inferring Chemical Compounds with Prescribed Topological Structures.- Automatic Classification for Ontology Generation by Pretrained Language Model.- Deep Learning Architecture for Topological Optimized Mechanical Design Generation with Complex Shape Criterion.- Computational Ontology and BIM Technology in Data-Driven Indoor Route Planning.- Collaborative Maintenance of EDOAL Alignments in VocBench.- DIK
• G2: a Semantic Data Integration Approach for Knowledge Graphs Generation from Web Forms.- Ontology-based Resume Searching System for Job Applicants in Information Technology.- An Approach to Expressing Metamodels' Semantics in a Concept System.- Medical and Health-Related Applications.- Birth-death MCMC Approach for Multivariate Beta Mixture Models in Medical Applications.- Intelligent Asthma Self-Management System for Personalised Weather-based Healthcare using Machine Learning.- Deep Forecasting of COVID
• -19: Canadian Case Study.- COVID-19 Genome Analysis using Alignment-Free Methods.- Deep Efficient Neural Networks for Explainable COVID-19 detection on CXR Images.- Predicting Psychological Distress from Ecological Factors: A Machine Learning Approach.- Graphic and Social Network Analysis.- Configuration model of employee competences in a social media team.- The Extended Graph Generalization as a Representation of the Metamodels' Extensional Layer.- WawPart: Workload-Aware Partitioning of Knowledge Graphs.- Analysis of Sentimental Behaviour over Social Data Using Machine Learning Algorithms.- Signal and Bioinformatic Processing.- A Large-scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts.- Determining 2-Optimality Consensus for DNA structure.- Evolutionary Computation.- Utilizing Center-Based Sampling Theory to Enhance Particle Swarm Classification of Textual Data.- Conditional Preference Networks: Refining Solution Orderings beyond Pareto Dominance.- Enhancing Multi-Objective Evolutionary Neural Architecture Search with Surrogate Models and Potential Point-Guided Local Searches.- Insightful and Practical Multi-Objective Convolutional Neural Network Architecture Search with Evolutionary Algorithms.- Method for Automatic Furniture Placement Based on Simulated Annealing and Genetic Algorithm.- Attack and Security.- Recent Research on Phishing Detection through Machine Learning Algorithm.- A Transaction Classification Model of Federated Learning.- On the Assessment of Robustness of Telemedicine Applications against Adversarial Machine Learning Attacks.- A 1D-CNN Based Deep Learning for Detecting VSI-DDoS Attacks in IoT Applications.- Natural Language and Text Processing.- Hierarchical Transformer Encoders for Vietnamese Spelling Correction.- Fast and Memory-efficient TFIDF Calculation for Text Analysis of Large Datasets.- Collapsed Gibbs Sampling of Beta-Liouville Multinomial for Short Text Clustering.- Constructive and Toxic Speech Detection for Open-domain Social Media Comments in Vietnamese.- Fuzzy Inference and Theory.- The behaviour of the product t-norm in combination with several implications in Fuzzy PID controller.- Hub and Spoke Logistics Network Design for Urban Region with Clustering-Based Approach.- Sensor and Communication Networks.- Smartphone Sensor-Based Fall Detection using Machine Learning Algorithms.- IPR-SN: Intelligent Packet Routing in Satellite Networks Based on Distributed Deep Reinforcement Learning.
• (source: Nielsen Book Data)

This two-volume set of LNAI 12798 and 12799 constitutes the thoroughly refereed proceedings of the 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, held virtually and in Kuala Lumpur, Malaysia, in July 2021.The 87 full papers and 19 short papers presented were carefully reviewed and selected from 145 submissions. The IEA/AIE 2021 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas. These areas include the following: Part I, Artificial Intelligence Practices: Knowledge discovery and pattern mining; artificial intelligence and machine learning; sematic, topology, and ontology models; medical and health-related applications; graphic and social network analysis; signal and bioinformatics processing; evolutionary computation; attack security; natural language and text processing; fuzzy inference and theory; and sensor and communication networks Part II, From Theory to Practice: Prediction and recommendation; data management, clustering and classification; robotics; knowledge based and decision support systems; multimedia applications; innovative applications of intelligent systems; CPS and industrial applications; defect, anomaly and intrusion detection; financial and supply chain applications; Bayesian networks; BigData and time series processing; and information retrieval and relation extraction.
(source: Nielsen Book Data)

• Prediction and Recommendation.- F2DeepRS: A Deep Recommendation Framework Applied to ICRC Platforms.- A Novel Rule-based Online Judge Recommender System to Promote Computer Programming Education.- Using Machine Learning to Predict Salaries of Major League Baseball Players.- Efficient Prediction of Discharge and Water Levels Using Ensemble Learning and Singular-Spectrum Analysis-based Denoising.- An Efficient Transformer-based Model for Vietnamese Punctuation Prediction.- Study of Hybridized Support Vector Regression Based Flood Susceptibility Mapping for Bangladesh.- A Fusion Approach for Paper Submission Recommendation System.- One-class Classification Approach using Feature-slide Prediction Subtask for Feature Data.- Data Management, Clustering and Classification.- A Novel Approach for Enhancing Vietnamese Sentiment Classification.- Consistency Assessment of Datasets in the Context of a Problem Domain.- Effects of Performance Clustering in User Modelling for Learning Style Knowledge Representation.- A Novel Perspective of Text Classification by Prolog-based Deductive Databases.- Improving Human Emotion Recognition from Emotive Videos using Geometric Data Augmentation.- Applying Method of Automatic Classification Tools to Make Effective Organizing of Photos Taken in Childcare Facilities.- Land Use/Land Cover Change Analysis Due to Tourism in the Chittagong Hill Tracts of Bangladesh.- Robotics.- Estimation Method for Operational Environment Complexity by a Robotic Team.- A Cloud-based Robot Framework for Indoor Object Identification using Unsupervised Segmentation Technique and Convolution Neural Network (CNN).- Knowledge Based and Decision Support Systems.- The Concept of Information Graphs as a Tool to Identify Vulnerabilities in the Information Map of an Organization.- A Learning-Automata Based Solution for Non-Equal Partitioning: Partitions with Common GCD Sizes.- Building a Knowledge Graph with Inference for a Production Machine Using the Web of Things Standard.- Open-World Knowledge Graph Completion Benchmarks for Knowledge Discovery.- A Case-based Reasoning Approach for a Decision Support System in Manufacturing.- Online Automatic Assessment System for Program Code: Architecture and Experiences.- A Multi-Criteria Group Decision Making Procedure Based on a Multi-Granular Linguistic Approach for Changeable Scenarios.- Multimedia Applications.- Edge Based Method for Kidney Segmentation in MRI Scans.- Using the HAAR Wavelet Transform and K-nearest Neighbour Algorithm to Improve ECG Detection and Classification of Arrhythmia.- Query by Humming for Song Identification using Voice Isolation.- IMAGE-2-AQI: Aware of the Surrounding Air Qualification by a Few Images.- Advances in Sports Video Summarization - A Review based on Cricket Videos.- Augmented Audio Data in Improving Speech Emotion Classification Tasks.- Innovative Applications of Intelligent Systems.- Intelligent System of Mooring Planning based on Deep Q-learning.- Experimental Study on Predictive Modeling in the Gamification Marketing Application.- Pivot Point Based Intelligent System to Associate Creative Textual Artefacts.- Mood Support: A Personalized Intelligent Support Assignment System using an Agent-based Dynamic Configuration Model.- Continuous Build Outcome Prediction: A Small-N Experiment in Settings of a Real Software Project.- Jaskier: A Supporting Software Tool for Continuous Build Outcome Prediction Practice.- CPS and Industrial Applications.- Automated Diagnosis of Cyber-Physical Systems.- Quick Start And Adaptive New Server Monitor.- Map-matching based on HMM for Urban Traffic.- The Choice of AI Matters: Alternative Machine Learning Approaches for CPS Anomalies.- On-demand Knowledge Graphs for Standards-based Power Grid Data Provisioning.- Defect, Anomaly and Intrusion Detection.- Intrusion Detection Algorithm Based On SDA-ELM.- Explaining Defect Detection with Saliency Maps.- d-BTAI: the Dynamic-Binary Tree Based Anomaly Identification Algorithm for Industrial Systems.- Identifying Anomaly Work in Intralogistics Using BLE and LPWA.- Financial and Supply Chain Applications.- Impact Analysis of Proactive and Reactive Inventory Disruption Management on Supply Chain Performance.- A ML-based Stock Trading Model for Profit Predication.- Machine Learning-Based Empirical Investigation For Credit Scoring In Vietnam's Banking.- Bayesian Networks.- Unsupervised Co-training of Bayesian Networks for Condition Prediction.- BigData and Time Series Processing.- Implementation of Neural Network Regression Model for Faster Redshift Analysis on Cloud-based Spark Platform.- Target Class Supervised Sample Length and Training Sample Reduction of Univariate Time Series.- Information Retrieval and Relation Extraction.- Improving Relation Extraction via Joint Coding using BiLSTM and DCNN.- A Possible Worlds Interpretation of Many-Sorted Theory for IR.
• (source: Nielsen Book Data)

This two-volume set of LNAI 12798 and 12799 constitutes the thoroughly refereed proceedings of the 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, held virtually and in Kuala Lumpur, Malaysia, in July 2021.The 87 full papers and 19 short papers presented were carefully reviewed and selected from 145 submissions. The IEA/AIE 2021 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas. These areas include the following: Part I, Artificial Intelligence Practices: Knowledge discovery and pattern mining; artificial intelligence and machine learning; sematic, topology, and ontology models; medical and health-related applications; graphic and social network analysis; signal and bioinformatics processing; evolutionary computation; attack security; natural language and text processing; fuzzy inference and theory; and sensor and communication networks Part II, From Theory to Practice: Prediction and recommendation; data management, clustering and classification; robotics; knowledge based and decision support systems; multimedia applications; innovative applications of intelligent systems; CPS and industrial applications; defect, anomaly and intrusion detection; financial and supply chain applications; Bayesian networks; BigData and time series processing; and information retrieval and relation extraction.
(source: Nielsen Book Data)

• SIFT Application Separates Motion Characteristics and Identifies Symbols on Tires
• Localization and classification of thoracic abnormalities from chest radiographs using deep ensemble model
• Comparative Study on Different Approaches for Understanding the Privacy Policies
• A framework for the development of Intrusion detection system using Deep Learning
• A Self Explainable Face Anti-Spoofing Solution based on Depth-Estimation
• A Nave Approach for Mutation Detection using Color Encodings and String Matching Techniques
• Particulate Matter Concentration Estimation from Images Based on Convolution Neural Network
• Brain Tumor Prediction from MRI Images using an ensemble model based on EcientNet-B2, B4, and ResNet34 architectures
• Automatic Abnormality Detection in Musculoskeletal Radiographs using Ensemble of Pre-trained Networks
• Ablation study of Indian Automatic Vehicle Number Plate Recognition model trained over Synthetic dataset
• An Approach of Hate Speech Identification on Twitter Corpus
• A Fuzzy C-Means Based Clustering Protocol to Improve QoS of Multi Sink WSNs
• A Descriptive Analysis of Reddit Comments using Data Analytics Approach
• Streamflow forecasting using novel ANFIS-GWO approach
• A Novel COVID-19 Based Optimization Algorithm (C-19BOA) for Multimodal Optimization Processes
• A Survey on Medical Image Analysis Using Deep Learning
• Improving English-Assamese Neural Machine Translation using Transliteration-based Approach
• Prediction of Air Quality using Machine Learning
• Inter domain text classification: A hybrid approach
• Sentimental Analysis of Twitter Users Text Using Machine Learning.

The book presents the proceedings of the 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022), held at NIT Mizoram, Aizawl, Mizoram, India during 18 19 June 2022. Researchers, scientists, engineers, and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. These proceedings are divided into two volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. This volume is a valuable resource for postgraduate students in various engineering disciplines.

• Stress Identification from Speech using Clustering techniques.- Comparative Study and Detection of COVID-19 and Related Viral Pneumonia using a Fine-tuned Deep Transfer Learning.- Predicting Glaucoma Diagnosis using AI.- Diagnosis and Analysis of Tuberculosis Disease using Simple Neural Network and Deep Learning Approach for Chest X-ray Images.- Adaptive Machine Learning Algorithm and Analytics of Big Genomic Data for Gene Prediction.
• (source: Nielsen Book Data)

This book presents an overview of how machine learning and data mining techniques are used for tracking and preventing diseases. It covers several aspects such as stress level identification of a person from his/her speech, automatic diagnosis of disease from X-ray images, intelligent diagnosis of Glaucoma from clinical eye examination data, prediction of protein-coding genes from big genome data, disease detection through microscopic analysis of blood cells, information retrieval from electronic medical record using named entity recognition approaches, and prediction of drug-target interactions. The book is suitable for computer scientists having a bachelor degree in computer science. The book is an ideal resource as a reference book for teaching a graduate course on AI for Medicine or AI for Health care. Researchers working in the multidisciplinary areas use this book to discover the current developments. Besides its use in academia, this book provides enough details about the state-of-the-art algorithms addressing various biomedical domains, so that it could be used by industry practitioners who want to implement AI techniques to analyze the diseases. Medical institutions use this book as reference material and give tutorials to medical experts on how the advanced AI and ML techniques contribute to the diagnosis and prediction of the diseases.
(source: Nielsen Book Data)

• Swarm Intelligence and Its Applications.- Operational Technologies and Networked Multimedia Applications.- Wearable Computing and Intelligent Data Hiding.- Image Processing and Intelligent Applications.- Intelligent Multimedia Tools and Applications.- Technologies for Next-Generation Network Environments.- Recent Progress in Computational Electromagnetic Dynamics.- Future Cyber Security, Privacy and Forensics for Advanced systems.- Data Mining Techniques and its Applications.- Optimization Models in Deep Learning/Machine Learning.
• (source: Nielsen Book Data)

This book contains selected papers presented at ICGEC 2021, the 14th International Conference on Genetic and Evolutionary Computing, held from October 21-23, 2021 in Jilin City, China. The conference was technically co-sponsored by Springer, Northeast Electric Power University Fujian University of Technology, Shandong University of Science and Technology, and Western Norway University of Applied Sciences. It is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing. And the readers may learn the up-to-date techniques of the mentioned topics, including swarm intelligence, artificial intelligence, information hiding and data mining techniques, which can help them to bring new ideas or apply the designed approaches from the collected papers to their professional jobs.
(source: Nielsen Book Data)

• Swarm Intelligence and Its Applications.- Operational Technologies and Networked Multimedia Applications.- Wearable Computing and Intelligent Data Hiding.- Image Processing and Intelligent Applications.- Intelligent Multimedia Tools and Applications.- Technologies for Next-Generation Network Environments.- Recent Progress in Computational Electromagnetic Dynamics.- Future Cyber Security, Privacy and Forensics for Advanced systems.- Data Mining Techniques and its Applications.
• (source: Nielsen Book Data)

This book gathers papers presented at the 13th International Conference on Genetic and Evolutionary Computing (ICGEC 2019), which was held in Qingdao, China, from 1st to 3rd, November 2019. Since it was established, in 2006, the ICGEC conference series has been devoted to new approaches with a focus on evolutionary computing. Today, it is a forum for the researchers and professionals in all areas of computational intelligence including evolutionary computing, machine learning, soft computing, data mining, multimedia and signal processing, swarm intelligence and security. The book appeals to policymakers, academics, educators, researchers in pedagogy and learning theory, school teachers, and other professionals in the learning industry, and further and continuing education. .
(source: Nielsen Book Data)

• Data Mining Techniques and its Applications.- QoS Control and Assessment in Networked Multimedia.- High Speed Computation and Applications in Information Systems.- Circuits and Signal Processing with Engineering Application.- Text Analysis Technologies and Development Strategies for e-Learning.
• (source: Nielsen Book Data)

This volume of Advances in Intelligent Systems and Computing contains accepted papers presented at ICGEC 2015, the 9th International Conference on Genetic and Evolutionary Computing. The conference this year was technically co-sponsored by Ministry of Science and Technology, Myanmar, University of Computer Studies, Yangon, University of Miyazaki in Japan, Kaohsiung University of Applied Science in Taiwan, Fujian University of Technology in China and VSB-Technical University of Ostrava. ICGEC 2015 is held from 26-28, August, 2015 in Yangon, Myanmar. Yangon, the most multiethnic and cosmopolitan city in Myanmar, is the main gateway to the country. Despite being the commercial capital of Myanmar, Yangon is a city engulfed by its rich history and culture, an integration of ancient traditions and spiritual heritage. The stunning SHWEDAGON Pagoda is the center piece of Yangon city, which itself is famous for the best British colonial era architecture. Of particular interest in many shops of Bogyoke Aung San Market, and of world renown, are Myanmar's precious stones-rubies, sapphires and jade. At night time, Chinatown comes alive with its pungent aromas and delicious street food. The conference is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing.
(source: Nielsen Book Data)

• Nature Inspired Constrained Optimization.- Recent Advances on Evolutionary Optimization Technologies.- Wearable Computing and Intelligent Data Hiding.- Image Processing and Intelligent Applications.- Intelligent Multimedia Tools and Applications.- Technologies for Next-Generation Network Environments.
• (source: Nielsen Book Data)

This volume of Advances in Intelligent Systems and Computing contains accepted papers presented at ICGEC 2014, the 8th International Conference on Genetic and Evolutionary Computing. The conference this year was technically co-sponsored by Nanchang Institute of Technology in China, Kaohsiung University of Applied Science in Taiwan, and VSB-Technical University of Ostrava. ICGEC 2014 is held from 18-20 October 2014 in Nanchang, China. Nanchang is one of is the capital of Jiangxi Province in southeastern China, located in the north-central portion of the province. As it is bounded on the west by the Jiuling Mountains, and on the east by Poyang Lake, it is famous for its scenery, rich history and cultural sites. Because of its central location relative to the Yangtze and Pearl River Delta regions, it is a major railroad hub in Southern China. The conference is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing.
(source: Nielsen Book Data)

• Chapter 1: Introduction to Data Mining.-
• Chapter 2: Discovering Frequent Patterns in Very Large Transactional Database.-
• Chapter 3: Discovering Periodic Frequent Patterns in Temporal Databases.-
• Chapter 4: Discovering Fuzzy Periodic Frequent Patterns in Quantitative Temporal Databases.-
• Chapter 5: Discovering Partial Periodic Patterns in Temporal Databases.-
• Chapter 6: Finding Periodic Patterns in Multiple Sequences.-
• Chapter 7: Discovering Self Reliant Patterns.-
• Chapter 8: Finding Periodic High Utility Patterns in Sequence.-
• Chapter 9: Mining Periodic High Utility Sequential Patterns with Negative Unit Profits.-
• Chapter 10: Hiding Periodic High Utility Sequential Patterns.-
• Chapter 11: NetHAPP.-
• Chapter 12: Privacy Preservation of Periodic Frequent Patterns using Sensitive Inverse Frequency.
• (source: Nielsen Book Data)

This book provides an introduction to the field of periodic pattern mining, reviews state-of-the-art techniques, discusses recent advances, and reviews open-source software. Periodic pattern mining is a popular and emerging research area in the field of data mining. It involves discovering all regularly occurring patterns in temporal databases. One of the major applications of periodic pattern mining is the analysis of customer transaction databases to discover sets of items that have been regularly purchased by customers. Discovering such patterns has several implications for understanding the behavior of customers. Since the first work on periodic pattern mining, numerous studies have been published and great advances have been made in this field. The book consists of three main parts: introduction, algorithms, and applications. The first chapter is an introduction to pattern mining and periodic pattern mining. The concepts of periodicity, periodic support, search space exploration techniques, and pruning strategies are discussed. The main types of algorithms are also presented such as periodic-frequent pattern growth, partial periodic pattern-growth, and periodic high-utility itemset mining algorithm. Challenges and research opportunities are reviewed. The chapters that follow present state-of-the-art techniques for discovering periodic patterns in (1) transactional databases, (2) temporal databases, (3) quantitative temporal databases, and (4) big data. Then, the theory on concise representations of periodic patterns is presented, as well as hiding sensitive information using privacy-preserving data mining techniques. The book concludes with several applications of periodic pattern mining, including applications in air pollution data analytics, accident data analytics, and traffic congestion analytics.
(source: Nielsen Book Data)

• Cloud-Based E-Learning : Scaffolding Environment for Adaptive E-Learning Ecosystem based on Cloud Computing Infrastructure.- Web Crawling based Search Engine for Programming Languages.- Smart Helmet for Coal Mine Monitoring.- K-Weighted Cluster Head Selection in Wireless Sensor Networks.- Implementation and Performance Analysis of PEGASIS, MIEEPB Protocols in Wireless Sensor Networks.- A Queue Management System for Cloud Data Processing.- Levy Based Optimisation in Performance Enhanced Smart Antenna System for 5G Communication.- Sensor Integration and Information Sharing for Automated Electric Vehicles for Better Estimation of the Surroundings.- Cloud Computed Solar Tracking System.- A Session Key Establishment from Fingerprint Biometrics for Secure Communication.
• (source: Nielsen Book Data)

This book features a collection of high-quality, peer-reviewed papers presented at the Fifth International Conference on Intelligent Computing and Communication (ICICC 2021) organized by the Department of Computer Science and Engineering and Department of Computer Science and Technology, Dayananda Sagar University, Bengaluru, India, on November 26 - 27, 2021. The book is organized in two volumes and discusses advanced and multi-disciplinary research regarding the design of smart computing and informatics. It focuses on innovation paradigms in system knowledge, intelligence, and sustainability that can be applied to provide practical solutions to a number of problems in society, the environment and industry. Further, the book also addresses the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology, and healthcare.
(source: Nielsen Book Data)

• Enhancement of Image Forgery and Improvement of Image Parameters Using DWT Algorithm.- Derivation of DUS-Defined Physiological and Color Features of Okra Fruit Using Machine Vision Technology.- Application-Oriented Content Quality Analysis of Data Using Python.- An Improved Similarity Measure Based on Collaborative Filtering for Sparsity Problem in Recommender Systems.- Detection and Classification of Bird Pest Using Spectrogram, Physical Imagery, and Convolutional Neural Network.- Scatter Index: An Alternative Measure of Dispersion Based on Relative Frequency of Occurrence of Observations.
• (source: Nielsen Book Data)

This book features a collection of high-quality, peer-reviewed papers presented at the Fifth International Conference on Intelligent Computing and Communication (ICICC 2021) organized by the Department of Computer Science and Engineering and the Department of Computer Science and Technology, Dayananda Sagar University, Bengaluru, India, on 26-27 November 2021. The book is organized in two volumes and discusses advanced and multi-disciplinary research regarding the design of smart computing and informatics. It focuses on innovation paradigms in system knowledge, intelligence and sustainability that can be applied to provide practical solutions to a number of problems in society, the environment and industry. Further, the book also addresses the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and health care.
(source: Nielsen Book Data)

This book constitutes the proceedings of the 8th International Conference on Big Data Analytics, BDA 2021, which took place during December 2021. Due to COVID-19 pandemic the conference was held virtually. The 16 full and 3 short papers included in this volume were carefully reviewed and selected from 41 submissions. The contributions were organized in topical sections named as follows: medical and health applications; machine/deep learning; IoTs, sensors, and networks; fundamentation; pattern mining and data analytics.
(source: Nielsen Book Data)