ENGLISH

Foundations and Novel Approaches in Data Mining

By Lawrence J. Mazlack (auth.) , Professor Tsau Young Lin , Professor Setsuo Ohsuga , Dr. Churn-Jung Liau , Professor Xiaohua Hu (eds.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2006
ISBN
978-3-540-28315-7, 978-3-540-31229-1
DOI
10.1007/11539827
Language
english
Format
PDF
Filesize
18 MB (18667643 bytes)
Series
Studies in Computational Intelligence 9
Edition
1
Pages
378\375
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Appl.Mathematics/Computational Methods of Engineer

Description

Data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor” syndrome. Currently, application oriented engineers are only concerned with their immediate problems, which results in an ad hoc method of problem solving. Researchers, on the other hand, lack an understanding of the practical issues of data-mining for realworld problems and often concentrate on issues that are of no significance to the practitioners. In this volume, we hope to remedy problems by (1) presenting a theoretical foundation of data-mining, and (2) providing important new directions for data-mining research. A set of well respected data mining theoreticians were invited to present their views on the fundamental science of data mining. We have also called on researchers with practical data mining experiences to present new important data-mining topics.

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