Data Mining: Opportunities and Challenges

Front Cover
John Wang
Idea Group Inc (IGI), Jan 1, 2003 - Computers - 468 pages
0 Reviews
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.

What people are saying - Write a review

We haven't found any reviews in the usual places.


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

The Pitfalls of Knowledge Discovery in Databases and Data Mining
Maximum Performance Efficiency Approaches for Estimating Best Practice Costs
Bayesian Data Mining and Knowledge Discovery
Mining Free Text for Structure
About the Authors

Other editions - View all

Common terms and phrases

Popular passages

Page 452 - IGP titles. 30-Day free trial! InfoSci-Online Database Provide instant access to the latest offerings of Idea Group Inc. publications in the fields of INFORMATION SCIENCE, TECHNOLOGY and MANAGEMENT...
Page 452 - IGI's three imprints (Idea Group Publishing, Information Science Publishing and IRM Press) that can be accessed by users of this database through identifying areas of research interest and keywords. Contents & Latest Additions: Unlike the delay...
Page xiii - I would like to acknowledge the help of all involved in the collation and review process of the book, without whose support the project could not have been satisfactorily completed.
Page 452 - IGI with 13(K) new book chapters. 250+ journal articles and case studies and 250+ conference proceedings papers per year, all related to aspects of information, science, technology and management, published by Idea Group Inc. The updates will occur as soon as the material becomes available, even before the publications are sent to print. InfoSci-Online pricing flexibility allows this database to be an excellent addition to your library, regardless of the size of your institution. Contact: Ms. Carrie...
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.

Bibliographic information