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Title Foundations and advances in data mining / Wesley Chu, Tsau Young Lin (eds.)
Published Berlin ; New York : Springer, ©2005

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Description 1 online resource (x, 340 pages) : illustrations
Series Studies in fuzziness and soft computing, 1434-9922 ; v. 180
Studies in fuzziness and soft computing ; v. 180. 1434-9922
Contents The Mathematics of Learning -- Logical Regression Analysis: From Mathematical Formulas to Linguistic Rules -- A Feature/Attribute Theory for Association Mining and Constructing the Complete Feature Set -- A New Theoretical Framework for K-means-type Clustering -- Clustering via Decision Tree Construction -- Incremental Mining on Association Rules -- Mining Association Rules from Tabular Data Guided by Maximal Frequent Itemsets -- Sequential Pattern Mining by Pattern-Growth: Principles and Extensions -- Web Page Classification -- Web Mining -- Concepts, Applications, and Research Directions -- Privacy-Preserving Data Mining
Summary With the growing use of information technology and the recent advances in web systems, the amount of data available to users has increased exponentially. Thus, there is a critical need to understand the content of the data. As a result, data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. In this carefully edited volume a theoretical foundation as well as important new directions for data-mining research are presented. It brings together a set of well respected data mining theoreticians and researchers with practical data mining experiences. The presented theories will give data mining practitioners a scientific perspective in data mining and thus provide more insight into their problems, and the provided new data mining topics can be expected to stimulate further research in these important directions
Bibliography Includes bibliographical references
Notes Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL
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digitized 2010 HathiTrust Digital Library committed to preserve pda MiAaHDL
In Springer e-books
Subject Data mining.
Data Mining
Ingénierie.
Data mining
Form Electronic book
Author Chu, Wesley W.
Lin, Tsau Y., 1937-
ISBN 9783540323938
3540323937
3540250573
9783540250579
6611390391
9786611390396