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Foundations and Novel Approaches in Data Mining (Studies in Computational Intelligence) (Studies in Computational Intelligence)

Foundations and Novel Approaches in Data Mining (Studies in Computational Intelligence) (Studies in Computational Intelligence)

Xiaohua Hu
0/5 ( ratings)
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 real-world problems and often concentrate on issues that are of no significance to the practitioners. In this volume, we hope to remedy problems by presenting a theoretical foundation of data-mining, and 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.
Pages
376
Format
Hardcover
Publisher
Springer
Release
December 01, 2005
ISBN
3540283153
ISBN 13
9783540283157

Foundations and Novel Approaches in Data Mining (Studies in Computational Intelligence) (Studies in Computational Intelligence)

Xiaohua Hu
0/5 ( ratings)
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 real-world problems and often concentrate on issues that are of no significance to the practitioners. In this volume, we hope to remedy problems by presenting a theoretical foundation of data-mining, and 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.
Pages
376
Format
Hardcover
Publisher
Springer
Release
December 01, 2005
ISBN
3540283153
ISBN 13
9783540283157

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