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

✍ Scribed by John Wang (editor)

• Publisher: Engineering Science Reference
• Year: 2022
• Tongue: English
• Leaves: 3296
• Category: Library

✦ Synopsis

Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.

✦ 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