Description
Rough – Granular Computing in Knowledge Discovery and Data Mining, Softcover reprint of hardcover 1st ed. 2008
Studies in Computational Intelligence Series, Vol. 152
Author: Stepaniuk J.
Language: EnglishSubject for Rough – Granular Computing in Knowledge Discovery and...:
Rough - Granular Computing in Knowledge Discovery and Data Mining
Publication date: 10-2010
162 p. · 15.5x23.5 cm · Paperback
Publication date: 10-2010
162 p. · 15.5x23.5 cm · Paperback
Rough - granular computing in knowledge discovery and data mining (Studies in computational intelligence, Vol. 152)
Publication date: 08-2008
162 p. · 15.5x23.5 cm · Hardback
Publication date: 08-2008
162 p. · 15.5x23.5 cm · Hardback
Description
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This book covers methods based on a combination of granular computing, rough sets, and knowledge discovery in data mining (KDD). The discussion of KDD foundations based on the rough set approach and granular computing feature illustrative applications.
I: Rough Set Methodology.- Rough Sets.- Data Reduction.- II: Classification and Clustering.- Selected Classification Methods.- Selected Clustering Methods.- A Medical Case Study.- III: Complex Data and Complex Concepts.- Mining Knowledge from Complex Data.- Complex Concept Approximations.- IV: Conclusions, Bibliography and Further Readings.- Concluding Remarks.
Presents recent research in Rough - Granular Computing in Knowledge Discovery and Data Mining
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