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Data Mining: Opportunities and Challenges

Data Mining: Opportunities and Challenges


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About the Book

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.

Table of Contents:
A Survey of Bayesian Data Mining; Control of Inductive Bias in Supervised Learning Using Evolutionary Computation: A Wrapper-Based Approach; Cooperative Learning and Virtual Reality-Based 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; Impact of Missing Data on Data Mining; Mining Text Documents for Thematic Hierarchies Using Self-Organizing Maps; 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; Query-by-Structure Approach for the Web; Financial Benchmarking Using Self-Organizing 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 Bank Performance; Social, Ethical and Legal Issues of Data Mining; Data Mining in Designing an Agent-Based DSS; Critical and Future Trends in DM: A Review of the Key DM Technologies and Applications


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Product Details
  • ISBN-13: 9781931777834
  • Publisher: IGI Global
  • Publisher Imprint: IGI Publishing
  • Height: 230 mm
  • Returnable: N
  • ISBN-10: 1931777837
  • Publisher Date: 28 Sep 2003
  • Binding: Paperback
  • Language: English
  • Sub Title: Opportunities and Challenges


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