Foundations of Data Mining and knowledge Discovery

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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Young Lin, Tsau (Editor), Ohsuga, Setsuo (Editor), Liau, Churn-Jung (Editor), Hu, Xiaohua (Editor), Tsumoto, Shusaku (Editor)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
Series:Studies in Computational Intelligence, 6
Subjects:
Online Access:Full Text via HEAL-Link
Description
Summary: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.
Physical Description:XIII, 378 p. online resource.
ISBN:9783540324089
ISSN:1860-949X ;