Editors:
- Collection of expanded versions of selected papers originally presented at the IEEE ICDM 2002 workshop on the Foundation of Data Mining and Discovery
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 6)
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Table of contents (21 chapters)
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Front Matter
About this book
"Foundations of Data Mining and Knowledge Discovery" contains the latest results and new directions in data mining research. Data mining, which integrates various technologies, including computational intelligence, database and knowledge management, machine learning, soft computing, and statistics, is one of the fastest growing fields in computer science. Although many data mining techniques have been developed, further development of the field requires a close examination of its foundations. This volume presents the results of investigations into the foundations of the discipline, and represents the state of the art for much of the current research. This book will prove extremely valuable and fruitful for data mining researchers, no matter whether they would like to uncover the fundamental principles behind data mining, or apply the theories to practical applications.
Bibliographic Information
Book Title: Foundations of Data Mining and Knowledge Discovery
Editors: Tsau Young Lin, Setsuo Ohsuga, Churn-Jung Liau, Xiaohua Hu, Shusaku Tsumoto
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/b137220
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2005
Hardcover ISBN: 978-3-540-26257-2Published: 02 September 2005
Softcover ISBN: 978-3-642-43228-6Published: 16 November 2014
eBook ISBN: 978-3-540-32408-9Published: 22 August 2005
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XIII, 378
Topics: Theory of Computation, Mathematical and Computational Engineering, Artificial Intelligence