Foundations and Advances in Data Mining

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.

• Format: Paperback
• Language: English
• ISBN: 3642425380
• ISBN13: 9783642425387
• Release Date: November 2014
• Publisher: Springer
• Length: 342 Pages
• Weight: 1.09 lbs.
• Dimensions: 0.7" x 6.1" x 9.2"