Data Mining: Opportunities and Challenges
Idea Group Inc (IGI), Jan 1, 2003 - Computers - 468 pages
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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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
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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.
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