Handbook of Research on Foundations and Applications of Intelligent Business Analytics

  • 9h 46m
  • Zhaohao Sun, Zhiyou Wu
  • IGI Global
  • 2022

Intelligent business analytics is an emerging technology that has become a mainstream market adopted broadly across industries, organizations, and geographic regions. Intelligent business analytics is a current focus for research and development across academia and industries and must be examined and considered thoroughly so businesses can apply the technology appropriately.

The Handbook of Research on Foundations and Applications of Intelligent Business Analytics examines the technologies and applications of intelligent business analytics and discusses the foundations of intelligent analytics such as intelligent mining, intelligent statistical modeling, and machine learning. Covering topics such as augmented analytics and artificial intelligence systems, this major reference work is ideal for scholars, engineers, professors, practitioners, researchers, industry professionals, academicians, and students.

About the Author

Zhaohao Sun is a full professor of IT, PNG University of Technology, Director of Research Centre of Big Data Analytics and Intelligent Systems (BAIS). He graduated from Bond U, U of Ballarat, Australia; Brandenburg Techn. U Cottbus (TU Cottbus), Germany and Hebei U, China with PhD, Graduate Cert. of Edu., MSc, MSc, and BSc respectively. He is also an adjunct professor of the Federation U Australia, chair professor of Hebei U of Science & Techn. He previously held academic positions at Hebei U, Hebei Normal U, China; RWTH Aachen, TU Cottbus; Bond U and UoW. Dr Sun is a world renowned scholar in many fields such as big data, data science, e-commerce, CBR, and intelligent systems. He has 10 books and 170+ referred research publications, completed 30+ research grants, supported from China, Germany, Australia, USA and PNG, and lectured 46+ different courses for UG and PG students of IT, IS, and CS in universities of Australia, China, and PNG. His current research interests include big data analytics, data science, AI, and business intelligence. He is a senior member of ACS, and a MAIS and MIEEE.

Zhiyou Wu is a full professor of Chongqing Normal University. She is also the director of Chongqing Key Lab of Intelligent Finance and Big Data Analysis, a Humboldt Research Fellow, the New Century Talent of the Ministry of Education, one of the One hundred leading talents in academic disciplines in Chongqing, etc. She is also the Executive director of Operations Research Society of China, the President of Chongqing Operational Research Society, etc. Her research area is on optimization theory and algorithms, especially on global optimization. She is the Principal Investigator of more than 15 projects including three National Natural Science Foundation of China and Australian National Project (ARC), etc. She has published more than 70 papers in journals such as SIAM, J and OPTIM, and has won 3 Chongqing Natural Science Awards. She has visited many universities in Hong Kong, Singapore, Australia, Germany and so on. She is an adjunct professor and adjunct doctoral supervisor at Shanghai University and Southwest Jiaotong University.

In this Book

  • Preface
  • The Elements of Intelligent Business Analytics—Principles, Techniques, and Tools
  • Intelligent Business Analytics—Need, Functioning, Challenges, and Implications
  • Principles of a Hybrid Intelligence Framework for Augmented Analytics
  • Designing Business Analytics Projects (BAP)—A Five-Step Dashboarding Cycle
  • A Process-Oriented Framework for Regulating Artificial Intelligence Systems
  • A Survey on Hybrid Case-Based Reasoning and Deep Learning Systems for Medical Data Classification
  • Big Data Analytics for Search Engine Optimization in Intelligent Business
  • Machine Learning and Deep Learning as New Tools for Business Analytics
  • Semantic Image Analysis on Social Networks and Data Processing—Review and Future Directions
  • Applying Intelligent Big Data Analytics in a Smart Airport Business—Value, Adoption, and Challenges
  • Immunize Your Organization—A People Analytics Exploration of the Change in Employee Priorities After the COVID-19 Lockdown
  • Undergraduate Computer Science Capstone Projects—Experiences and Examples in Data Science
  • The Relationships Between Users’ Negative Tweets, Topic Choices, and Subjective Well-Being in Japan
  • A Comparison of Deep Learning Models in Time Series Forecasting of Web Traffic Data From Kaggle
  • Weibo Analysis on Chinese Cultural Knowledge for Gaming
  • Big Data Analytics and the Discovery of the Hidden Data Treasure From Savings Banks in Germany
  • Compilation of References
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