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Foundations and Advances in Data Mining

Foundations and Advances in Data Mining

Paperback

Series: Studies in Fuzziness and Soft Computing, Book 180

General ComputersGeneral Mathematics

ISBN10: 3642425380
ISBN13: 9783642425387
Publisher: Springer
Published: Nov 16 2014
Pages: 342
Weight: 1.09
Height: 0.74 Width: 6.14 Depth: 9.21
Language: English
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.

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