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Foundations and Novel Approaches in Data Mining

Springer Berlin,
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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 (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.


Titel: Foundations and Novel Approaches in Data Mining
Autoren/Herausgeber: Tsau Young Lin, Setsuo Ohsuga, Churn-Jung Liau, Xiaohua Hu (Hrsg.)
Aus der Reihe: Studies in Computational Intelligence
Ausgabe: 2006

ISBN/EAN: 9783540283157

Seitenzahl: 378
Format: 23,5 x 15,5 cm
Produktform: Hardcover/Gebunden
Gewicht: 1,600 g
Sprache: Englisch - Newsletter
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