| Foundations and Novel Approaches in Data Mining 2006 Edition Contributor(s): Lin, Tsau Young (Editor), Ohsuga, Setsuo (Editor), Liau, Churn-Jung (Editor) |
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ISBN: 3540283153 ISBN-13: 9783540283157 Publisher: Springer OUR PRICE: $161.49 Product Type: Hardcover - Other Formats Published: November 2005 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Mathematics | Applied - Computers | Intelligence (ai) & Semantics - Technology & Engineering | Engineering (general) |
| Dewey: 006.3 |
| Series: Studies in Computational Intelligence |
| Physical Information: 0.88" H x 6.14" W x 9.21" (1.59 lbs) 378 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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 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. |