Cover Image

Data mining opportunities and challenges /

This 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 stud...

Full description

Bibliographic Details
Corporate Author: IGI Global.
Other Authors: Wang, John, 1955-
Format: Electronic
Language:English
Published: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2003.
Subjects:
Data mining.
Online Access:View fulltext via EzAccess
Table of Contents:
  • 1. A survey of Bayesian data mining / Stefan Arnborg
  • 2. Control of inductive bias in supervised learning using evolutionary computation / William Hsu
  • 3. Cooperative learning and virtual reality-based visualization for data mining / Herna Viktor, Eric Paquet, Gys le Roux
  • 4. Feature selection in data mining / Yong Kim, W. Street, Filippo Menczer
  • 5. Parallel and distributed data mining through parallel skeletons and distributed objects / Massimo Coppola, Marco Vanneschi
  • 6. Data mining based on rough sets / Jerzy Grzymala-Busse, Wojciech Ziarko
  • 7. The impact of missing data on data mining / Marvin Brown, John Kros
  • 8. Mining text documents for thematic hierarchies using self-organizing maps / Hsin-Chang Yang, Chung-Hong Lee
  • 9. The pitfalls of knowledge discovery in databases and data mining / John Wang, Alan Oppenheim
  • 10. Maximum performance efficiency approaches for estimating best practice costs / Marvin Troutt, Donald Gribbin, Murali Shanker, Aimao Zhang
  • 11. Bayesian data mining and knowledge discovery / Eitel Lauria, Giri Tayi
  • 12. Mining free text for structure / Vladimir Kulyukin, Robin Burke
  • 13. Query-by-structure approach for the web / Michael Johnson, Farshad Fotouhi, Sorin Draghici
  • 14. Financial benchmarking using self-organizing maps - studying the international pulp and paper industry / Tomas Eklund, Barbro Back, Hannu Vanharanta, Ari Visa
  • 15. Data mining in health care applications / Fay Payton
  • 16. Data mining for human resource information systems / Lori Long, Mavin Troutt
  • 17. Data mining in information technology and banking performance / Yao Chen, Joe Zhu
  • 18. Social, ethical and legal issues of data mining / Jack Cook, Laura Cook
  • 19. Data mining in designing an agent-based DSS / Christian Bohm, Maria Galli, Omar Chiotti
  • 20. Critical and future trends in data mining / Jeffrey Hsu.

Similar Items