附註:Includes bibliographical references and index.
Preliminaries -- Contents -- Chapter I A Survey of Bayesian Data Mining -- Chapter II Control of Inductive Bias in Supervised Learning Using Evolutionary Computation: A Wrapper-Based Approach -- Chapter III Cooperative Learning and Virtual Reality-Based Visualization for Data Mining -- Chapter IV Feature Selection in Data Mining -- Chapter V Parallel and Distributed Data Mining through Parallel Skeletons and Distributed Objects -- Chapter VI Data Mining Based on Rough Sets -- Chapter VII The Impact of Missing Data on Data Mining -- Chapter VIII Mining Text Documents for Thematic Hierarchies Using Self-Organizing Maps -- Chapter IX The Pitfalls of Knowledge Discovery in Databases and Data Mining -- Chapter X Maximum Performance Efficiency Approaches for Estimating Best Practice Costs -- Chapter XI Bayesian Data Mining and Knowledge Discovery -- Chapter XII Mining Free Text for Structure -- Chapter XIII Query-By-Structure Approach for the Web -- Chapter XIV Financial Benchmarking Using Self-Organizing Maps -- Studying the International Pulp and Paper Industry -- Chapter XV Data Mining in Health Care Applications -- Chapter XVI Data Mining for Human Resource Information Systems -- Chapter XVII Data Mining in Information Technology and Banking Performance -- Chapter XVIII Social, Ethical and Legal Issues of Data Mining -- Chapter XIX Data Mining in Designing an Agent-Based DSS -- Chapter XX Critical and Future Trends in Data Mining: A Review of Key Data Mining Technologies/ Applications -- About the Authors -- Index.
摘要: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 representing leading scientists and talented young scholars from seven different countries.
