Data Mining: Opportunities and Challenges

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John Wang
Idea Group Inc (IGI), Jan 1, 2003 - Computers - 468 pages
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Data Mining: Opportunities and Challenges presents an overview of the state-of-the-art approaches in this new and multidisciplinary field of data mining. The primary objective of this book is to explore the myriad issues regarding data mining, specifically focusing on those areas that explore new methodologies or examine case studies. This book contains numerous chapters written by an international team of forty-four experts.
 

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Contents

A Survey of Bayesian Data Mining
1
Control of Inductive Bias in Supervised Learning Using Evolutionary Computation A WrapperBased Approach
27
Cooperative Learning and Virtual RealityBased Visualization for Data Mining
55
Feature Selection in Data Mining
80
Parallel and Distributed Data Mining through Parallel Skeletons and Distributed Objects
106
Data Mining Based on Rough Sets
142
The Impact of Missing Data on Data Mining
174
Mining Text Documents for Thematic Hierarchies Using SelfOrganizing Maps
199
QueryByStructure Approach for the Web
301
Financial Benchmarking Using SelfOrganizing Maps Studying the International Pulp and Paper Industry
323
Data Mining in Health Care Applications
350
Data Mining for Human Resource Information Systems
366
Data Mining in Information Technology and Banking Performance
382
Social Ethical and Legal Issues of Data Mining
395
Data Mining in Designing an AgentBased DSS
421
Critical and Future Trends in Data Mining A Review of Key Data Mining TechnologiesApplications
437

The Pitfalls of Knowledge Discovery in Databases and Data Mining
220
Maximum Performance Efficiency Approaches for Estimating Best Practice Costs
239
Bayesian Data Mining and Knowledge Discovery
260
Mining Free Text for Structure
278
About the Authors
453
Index
462
Copyright

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Page xiii - In closing, I wish to thank all of the authors for their insights and excellent contributions to this book. I also want to thank all of the people who assisted me in the reviewing process.

About the author (2003)

John Wang is a full professor in the Department of Management & Information Systems at Montclair State University. Having received a scholarship award, he came to the USA and completed his PhD in operations research at Temple University (1990). He has published over 100 refereed papers and four books. He has also developed several computer software programs based on his research findings. He is the Editor-in-Chief of the International Journal of Information Systems and Supply Chain Management. Also, he is the Editor of the Encyclopedia of Data Warehousing and Mining, 1st and 2nd Edition. He is on the editorial board of the International Journal of Cases on Electronic Commerce and has been a guest editor and referee for Operations Research, IEEE Transactions on Control Systems Technology, and many other highly prestigious journals. His long-term research goal is on the synergy of operations research, data mining and cybernetics.

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