"This book addresses research issues by investigating into foundations, technologies, and applications of intelligent business analytics, offering theoretical foundations, technologies, methodologies, and applications of intelligent business analytics in an integrated way"--.

• Cover
• Title Page
• Copyright Page
• Book Series
• Editorial Advisory Board
• List of Contributors
• Table of Contents
• Detailed Table of Contents
• Preface
• Acknowledgment
• Section 1: Foundations of Intelligent Business Analytics
  • Chapter 1: The Elements of Intelligent Business Analytics
  • Chapter 2: Intelligent Business Analytics
  • Chapter 3: Principles of a Hybrid Intelligence Framework for Augmented Analytics
  • Chapter 4: Designing Business Analytics Projects (BAP)
• Section 2: Technologies for Intelligent Business Analytics
  • Chapter 5: A Process-Oriented Framework for Regulating Artificial Intelligence Systems
  • Chapter 6: A Survey on Hybrid Case-Based Reasoning and Deep Learning Systems for Medical Data Classification
  • Chapter 7: Big Data Analytics for Search Engine Optimization in Intelligent Business
  • Chapter 8: Machine Learning and Deep Learning as New Tools for Business Analytics
  • Chapter 9: Semantic Image Analysis on Social Networks and Data Processing
• Section 3: Applications of Intelligent Business Analytics
  • Chapter 10: Applying Intelligent Big Data Analytics in a Smart Airport Business
  • Chapter 11: Immunize Your Organization
  • Chapter 12: Undergraduate Computer Science Capstone Projects
  • Chapter 13: The Relationships Between Users' Negative Tweets, Topic Choices, and Subjective Well-Being in Japan
  • Chapter 14: A Comparison of Deep Learning Models in Time Series Forecasting of Web Traffic Data From Kaggle
  • Chapter 15: Weibo Analysis on Chinese Cultural Knowledge for Gaming
  • Chapter 16: Big Data Analytics and the Discovery of the Hidden Data Treasure From Savings Banks in Germany
• Compilation of References
• About the Contributors
• Index