Studies in Computational Intelligence

Lin, Tsau Young; Ohsuga, Setsuo; Liau, Churn-Jung; Hu, Xiaohua

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.

Details

Published by: Springer

Publication Date: 2005-11-03

Format: Hardcover

ISBN-13: 9783540283157

DOI: 10.1007/11539827

Dimensions: 235cm x155cm

Pages: 378