Data Mining: Opportunities and Challenges

ISBN:1931777837
Pages:326
Date:2003-09-28
Publisher:Irm Press
Rating:4.0

Read Data Mining: Opportunities and Challenges Online
1. Online Book Mirror [rapidshare.de]

    Book Description
An overview of the multidisciplinary field of data mining, this book focuses specifically on new methodologies and case studies. Included are case studies written by 44 leading scientists and talented young scholars from seven different countries. Topics covered include data mining based on rough sets, the impact of missing data, and mining free text for structure. In addition, the four basic mining operations supported by numerous mining techniques are addressed: predictive model creation supported by supervised induction techniques; link analysis supported by association discovery and sequence discovery techniques; DB segmentation supported by clustering techniques; and deviation detection supported by statistical techniques./p>
Reviews From AMAZON.COM
Useful to a wide and varied audience!
This book is a collection of the latest thinking in the area of data mining. The theoretical discussions would be useful to the initiated reader and the cases and experiments are excellent pointers for practitioners.
Fresh Insights!
I have read this book with growing interest - this is the first major comýpreýhensive and current introduction to data mining (DM) in ten years. Extremely interesting and useful book! It contains a collection of 20 high quality articles written by experts in data mining (DM) and knowledge disýcovery (KDD) from the following countries: Argentina, Canada, Finland, Italy, South Africa, Sweden, Taiwan, and USA. The book is filled with fresh insights on data mining: it provides a complete overview of DM-technology and outlines how it can be applied to real world problems and applications.