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Foundations and Advances in Data Mining

Specificaties
Gebonden, 342 blz. | Engels
Springer Berlin Heidelberg | 2005e druk, 2005
ISBN13: 9783540250579
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Springer Berlin Heidelberg 2005e druk, 2005 9783540250579
€ 180,99
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Samenvatting

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.

Specificaties

ISBN13:9783540250579
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:342
Uitgever:Springer Berlin Heidelberg
Druk:2005

Inhoudsopgave

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.
€ 180,99
Levertijd ongeveer 9 werkdagen
Gratis verzonden

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        Foundations and Advances in Data Mining