Rough – Granular Computing in Knowledge Discovery and Data Mining, Softcover reprint of hardcover 1st ed. 2008 Studies in Computational Intelligence Series, Vol. 152
Langue : Anglais
Auteur : Stepaniuk J.
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
Date de parution : 10-2010
Ouvrage de 162 p.
15.5x23.5 cm
Date de parution : 08-2008
Ouvrage de 162 p.
15.5x23.5 cm
Thème de Rough – Granular Computing in Knowledge Discovery and... :
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