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Foundations and Novel Approaches in Data Mining

Foundations and Novel Approaches in Data Mining

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.
Language
English
Pages
378
Format
Paperback
Publisher
Springer
Release
November 20, 2010
ISBN
364206650X
ISBN 13
9783642066504

Foundations and Novel Approaches in Data Mining

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.
Language
English
Pages
378
Format
Paperback
Publisher
Springer
Release
November 20, 2010
ISBN
364206650X
ISBN 13
9783642066504

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