Encyclopedia of Data Science and Machine Learning (Advances in Data Mining and Database Management) [Team-IRA] 1799892204, 9781799892205

Table of contents :
Title Page
Copyright Page
Editorial Advisory Board and List of Reviewers
List of Contributors
Table of Contents by Category
Table of Contents by Volume
Foreword
Preface
Acknowledgment
Section 1: Accounting Analytics
Chapter 1: Auditor Change Prediction Using Data Mining and Audit Reports
Chapter 2: Volatility of Semiconductor Companies
Section 2: Approximation Methods
Chapter 3: Use of AI in Predicting Trends in Vegetation Dynamics in Africa
Section 3: Autonomous Learning Systems
Chapter 4: Data Science for Industry 4.0
Section 4: Big Data Applications
Chapter 5: A Patient-Centered Data-Driven Analysis of Epidural Anesthesia
Chapter 6: Analysis of Big Data
Chapter 7: Big Data Analytics in E-Governance and Other Aspects of Society
Chapter 8: Big Data and Islamic Finance
Chapter 9: Big Data Helps for Non-Pharmacological Disease Control Measures of COVID-19
Chapter 10: Big Data Mining and Analytics With MapReduce
Chapter 11: Big Data Technologies and Pharmaceutical Manufacturing
Chapter 12: Data Warehouse With OLAP Technology for the Tourism Industry
Chapter 13: Defect Detection in Manufacturing via Machine Learning Algorithms
Chapter 14: Diving Into the Rabbit Hole
Chapter 15: Importance of AI and ML Towards Smart Sensor Network Utility Enhancement
Chapter 16: Leveraging Wi-Fi Big Data Streams to Support COVID-19 Contact Tracing
Chapter 17: Machine Learning in the Catering Industry
Chapter 18: Speedy Management of Data Using MapReduce Approach
Chapter 19: Storage and Query Processing Architectures for RDF Data
Chapter 20: Virtual Singers Empowered by Machine Learning
Section 5: Big Data as a Service
Chapter 21: Analyzing U.S. Maritime Trade and COVID-19 Impact Using Machine Learning
Chapter 22: NEW ARP
Section 6: Big Data Systems and Tools
Chapter 23: A Meta-Analytical Review of Deep Learning Prediction Models for Big Data
Chapter 24: Cluster Analysis as a Decision-Making Tool
Chapter 25: Data Lakes
Chapter 26: Datafied Modelling of Self-Disclosure in Online Health Communication
Chapter 27: Extending Graph Databases With Relational Concepts
Chapter 28: Free Text to Standardized Concepts to Clinical Decisions
Chapter 29: Internet Search Behavior in Times of COVID-19 Lockdown and Opening
Chapter 30: Interparadigmatic Perspectives Are Supported by Data Structures
Chapter 31: Oracle 19c's Multitenant Container Architecture and Big Data
Chapter 32: Trending Big Data Tools for Industrial Data Analytics
Section 7: Business Intelligence
Chapter 33: Artificial Intelligence, Consumers, and the Experience Economy
Chapter 34: Business Intelligence Applied to Tourism
Chapter 35: Customer Churn Reduction Based on Action Rules and Collaboration
Chapter 36: How Artificial Intelligence Is Impacting Marketing?
Chapter 37: Interactive Workbook on Science Communication
Chapter 38: International Trade, Economic Growth, and Turkey
Chapter 39: Machine Learning and Exploratory Data Analysis in Cross-Sell Insurance
Chapter 40: Tracking Buying Behavior by Analyzing Electronic Word of Mouth
Chapter 41: Web Service in Knowledge Management for Global Software Development
Section 8: Causal Analysis
Chapter 42: Hedonic Hunger and Obesity
Section 9: Chaos Control, Modeling, and Engineering
Chapter 43: Vapor Compression Refrigeration System Data-Based Comprehensive Model
Section 10: Cloud Infrastructure
Chapter 44: Cryptic Algorithms
Chapter 45: Review on Reliability and Energy-Efficiency Issues in Cloud Computing
Section 11: Cognitive Science
Chapter 46: Abductive Strategies in Human Cognition and in Deep Learning Machines
Chapter 47: Humanities, Digitizing, and Economics
Chapter 48: The Social Impact of Artificial Intelligence
Section 12: Computational Intelligence
Chapter 49: AI-Based Emotion Recognition
Chapter 50: An Intelligent Virtual Medical Assistant for Healthcare Prediction
Chapter 51: Artificial Intelligence-Based Behavioral Biometrics
Chapter 52: Artificial Neural Networks and Data Science
Chapter 53: Machine Learning Algorithms in Human Gait Analysis
Chapter 54: Machine Learning Algorithms
Chapter 55: Machine Learning and Emotions
Chapter 56: Machine Learning Enables Decision-Making Processes for an Enterprise
Chapter 57: Sentiment Analysis Using LSTM
Chapter 58: Understanding Machine Learning Concepts
Section 13: Computational Statistics
Chapter 59: Effect of Large-Scale Performed Vedic Homa Therapy on AQI
Chapter 60: Imputation-Based Modeling for Outcomes With Ceiling and Floor Effect
Section 14: Computer Vision
Chapter 61: Validating Machine Vision Competency Against Human Vision
Section 15: Customer Analytics
Chapter 62: Customer Analytics Using Sentiment Analysis and Net Promoter Score
Chapter 63: Customer Analytics
Chapter 64: Dynamics of User-Generated Content in Industry 4.0
Chapter 65: Factors Shaping the Patterns of Online Shopping Behavior
Chapter 66: Semantic Features Revealed in Consumer-Review Studies
Section 16: Data Processing, Data Pipeline, and Data Engineering
Chapter 67: Beyond Technology
Chapter 68: Bias in Data-Informed Decision Making
Chapter 69: Data Science in the Database
Chapter 70: Data Science Methodology
Chapter 71: Machine Learning Experiment Management With MLFlow
Chapter 72: Research Data Management
Chapter 73: Sustainable Big Data Analytics Process Pipeline Using Apache Ecosystem
Section 17: Data Visualization and Visual Mining
Chapter 74: An Agent and Pattern-Oriented Approach to Data Visualization
Chapter 75: Big Data Visualization of Association Rules and Frequent Patterns
Chapter 76: Cognitive Biases and Data Visualization
Chapter 77: Data Mining for Visualizing Polluted Gases
Section 18: Decision, Support System
Chapter 78: A Systems Analysis for Air Quality in Urban Ecology
Chapter 79: Automatic Moderation of User-Generated Content
Chapter 80: Bayesian Network-Based Decision Support for Pest Management
Chapter 81: Data-Driven Clinical Decision Support Systems Theory and Research
Chapter 82: Decision-Making Systems
Chapter 83: Decision Support Systems and Data Science
Chapter 84: Decision-Making Approaches for Airport Surrounding Traffic Management
Chapter 85: From DSS to Data Science
Chapter 86: Scrutinizing the Analytic Hierarchy Process (AHP)
Chapter 87: Software for Teaching
Chapter 88: The Diamond of Innovation
Section 19: Deep Neural Network (DNN) of Deep Learning
Chapter 89: Machine Learning Approach to Art Authentication
Chapter 90: Machine Learning for Decision Support in the ICU
Section 20: E-Learning Technologies and Tools
Chapter 91: Artificial Intelligence in E-Learning Systems
Chapter 92: Converging International Cooperation Supported by Data Structures
Chapter 93: Online Educational Video Recommendation System Analysis
Chapter 94: Tools and Techniques of Digital Education
Section 21: Emerging Technologies, Applications, and Related Issues
Chapter 95: Artificial Intelligence Into Democratic Decision Making
Chapter 96: Change Management Science Innovation Methodologies
Chapter 97: Developing Machine Learning Skills With No-Code Machine Learning Tools
Chapter 98: Educational Data Mining and Learning Analytics in the 21st Century
Chapter 99: Emerging Tools and Technologies in Data Science
Chapter 100: Explainable Artificial Intelligence
Chapter 101: Fairness Challenges in Artificial Intelligence
Chapter 102: Integration of Knowledge Management in Digital Healthcare Industries
Chapter 103: Learning Analytics for Smart Classrooms
Chapter 104: Machine Learning in the Real World
Chapter 105: The Artificial Intelligence in the Sphere of the Administrative Law
Chapter 106: Trust Management Mechanism in Blockchain Data Science
Chapter 107: Using Machine Learning to Extract Insights From Consumer Data
Section 22: Ensemble Learning
Chapter 108: Effective Bankruptcy Prediction Models for North American Companies
Chapter 109: Ensemble Methods and Their Applications
Chapter 110: How to Structure Data for Humanitarian Learning
Chapter 111: Stock Price Prediction
Section 23: Feature Engineering
Chapter 112: A Hybridized GA-Based Feature Selection for Text Sentiment Analysis
Chapter 113: Bio-Inspired Algorithms for Feature Selection
Section 24: Financial Services Analytics
Chapter 114: Financial Analytics With Big Data
Chapter 115: Portfolio Optimization for the Indian Stock Market
Chapter 116: Product Offer and Pricing Personalization in Retail Banking
Section 25: Fuzzy Logic and Soft Computing
Chapter 117: Data Hierarchies for Generalization of Imprecise Data
Chapter 118: Fuzzy Complex System of Linear Equations
Chapter 119: Fuzzy Logic-Based Classification and Authentication of Beverages
Section 26: Gradient-Boosting Decision Trees
Chapter 120: Aircraft Maintenance Prediction Tree Algorithms
Section 27: Graph Learning
Chapter 121: Graph Data Management, Modeling, and Mining
Section 28: High-Throughput Data Analysis
Chapter 122: Best Practices of Feature Selection in Multi-Omics Data
Chapter 123: Class Discovery, Comparison, and Prediction Methods for RNA-Seq Data
Section 29: Industry 4.0
Chapter 124: AI Is Transforming Insurance With Five Emerging Business Models
Chapter 125: Artificial Intelligence, Big Data, and Machine Learning in Industry 4.0
Chapter 126: Big Data and Sustainability Innovation
Chapter 127: Deep Learning for Cyber Security Risk Assessment in IIoT Systems
Chapter 128: Digital Transformation and Circular Economy for Sustainability
Chapter 129: Emerging New Technologies and Industrial Revolution
Chapter 130: Evolving From Predictive to Liquid Maintenance in Postmodern Industry
Chapter 131: Industrial Revolution 4.0 With a Focus on Food-Energy-Water Sectors
Chapter 132: Industry Revolution 4.0 and Its Impact on Education
Chapter 133: Sensors and Data in Mobile Robotics for Localisation
Chapter 134: Structure Implementation of Online Streams
Chapter 135: Nature-Inspired Algorithms and Smart City Applications
Section 30: Information Extraction
Chapter 136: Analysis of Frequency Domain Data Generated by a Quartz Crystal
Section 31: Internet of Things
Chapter 137: Exploration of Research Challenges and Potential Applications in IoT
Chapter 138: The Application of the Internet of Things in Managing Supply Chains
Section 32: Malware Analysis
Chapter 139: Malware Detection in Network Flows With Self-Supervised Deep Learning
Section 33: Management Analytics
Chapter 140: Evaluation of Tourism Sustainability in La Habana City
Chapter 141: The Contribution of Benefit Management to Improve Organizational Maturity
Section 34: Marketing Analytics
Chapter 142: Balanced Scorecard as a Tool to Evaluate Digital Marketing Activities
Section 35: Mathematical Optimization
Chapter 143: An Approach for a Multi-Objective Capacitated Transportation Problem
Chapter 144: One vs.Two vs. Multidimensional Searches for Optimization Methods
Section 36: Meta-Analysis and Metamodeling
Chapter 145: The Role of Metamodeling in Systems Development
Section 37: Multivariate Analysis
Chapter 146: Challenges and Chances of Classical Cox Regression
Chapter 147: Quantile Regression Applications in Climate Change
Section 38: Natural Language Processing (NLP)
Chapter 148: Challenges and Opportunities in Knowledge Representation and Reasoning
Section 39: Nature-Inspired Algorithms
Chapter 149: Spatial Audio Coding and Machine Learning
Section 40: Network Modeling and Theory
Chapter 150: Binary Search Approach for Largest Cascade Capacity of Complex Networks
Chapter 151: Investigating the Character-Network Topology in Marvel Movies
Chapter 152: Social Networks and Analytics
Section 41: Object Detection
Chapter 153: An Image-Based Ship Detector With Deep Learning Algorithms
Section 42: Performance Metrics
Chapter 154: Artificial Intelligence and Machine Learning Innovation in SDGs
Section 43: Predictive Analytics
Chapter 155: A Comparison of SOM and K-Means Algorithms in Predicting Tax Compliance
Chapter 156: Analyzing the Significance of Learner Emotions Using Data Analytics
Chapter 157: Breast Cancer Disease Exploitation to Recure a Healthy Lifestyle
Chapter 158: Convex Nonparametric Least Squares for Predictive Maintenance
Chapter 159: Machine Learning and Sensor Data Fusion for Emotion Recognition
Chapter 160: Predicting Estimated Arrival Times in Logistics Using Machine Learning
Chapter 161: Relative Relations in Biomedical Data Classification
Chapter 162: Use of “Odds” in Bayesian Classifiers
Section 44: Pricing Analytics
Chapter 163: Machine Learning for Housing Price Prediction
Section 45: Qualitative Research
Chapter 164: Quantitative Data in Ethnography With Asian Reflections
Section 46: Recommender Systems
Chapter 165: Content and Context-Aware Recommender Systems for Business
Chapter 166: ERP and Time Management
Chapter 167: Foundational Recommender Systems for Business
Chapter 168: Hybrid Machine Learning for Matchmaking in Digital Business Ecosystems
Chapter 169: Recommendation Systems
Section 47: Reinforcement Learning
Chapter 170: Reinforcement Learning for Combinatorial Optimization
Section 48: Simulation and Modeling
Chapter 171: A Simulation Model for Application Development in Enterprise Data Platforms
Chapter 172: Ontological Metamodel of Sustainable Development
Section 49: Smart City
Chapter 173: Death Analytics and the Potential Role in Smart Cities
Section 50: Social Media Analytics
Chapter 174: Usage of the Basic Facebook Features as Befitting Marketing Tools
Section 51: Supply Chain Analytics and Management
Chapter 175: A Bio-Inspired Approach to Solve the Problem of Regular Carpooling
Chapter 176: A Review on the Use of Artificial Intelligence in Reverse Logistics
Chapter 177: Artificial Intelligence for Sustainable Humanitarian Logistics
Chapter 178: Blockchain Technology, Vanilla Production, and Fighting Global Warming
Chapter 179: Data Analytics in the Global Product Development Supply Chain
Chapter 180: Digital Twins, Stress Tests, and the Need for Resilient Supply Chains
Section 52: Symbolic Learning
Chapter 181: Knowledge-Based Artificial Intelligence
Section 53: Time Series Analysis
Chapter 182: Statistical Model Selection for Seasonal Big Time Series Data
Section 54: Transfer Learning
Chapter 183: Integration of Knowledge Sharing Into Project Management
Section 55: Transport Analytics
Chapter 184: Improving Transportation Planning Using Machine Learning
Section 56: Unsupervised and Supervised Learning
Chapter 185: AUTOMATON
Chapter 186: Employee Classification in Reward Allocation Using ML Algorithms
Chapter 187: Identifying Disease and Diagnosis in Females Using Machine Learning
About the Contributors
Index