Incomplete Information System and Rough Set Theory: Models and Attribute Reductions - Couverture rigide

Yang, Xibei; Yang, Jingyu

 
9783642259340: Incomplete Information System and Rough Set Theory: Models and Attribute Reductions
Couverture rigide
ISBN 10 : 3642259340 ISBN 13 : 9783642259340
Editeur : Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 2012

Synopsis

"Incomplete Information System and Rough Set Theory: Models and Attribute Reductions" covers theoretical study of generalizations of rough set model in various incomplete information systems. It discusses not only the regular attributes but also the criteria in the incomplete information systems. Based on different types of rough set models, the book presents the practical approaches to compute several reducts in terms of these models. The book is intended for researchers and postgraduate students in machine learning, data mining and knowledge discovery, especially for those who are working in rough set theory, and granular computing.

Dr. Xibei Yang is a lecturer at the School of Computer Science and Engineering, Jiangsu University of Science and Technology, China; Jingyu Yang is a professor at the School of Computer Science, Nanjing University of Science and Technology, China.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Date d'édition
2012
Langue
anglais
ISBN 10 
3642259340
ISBN 13 
9783642259340
Reliure
Relié
Nombre de pages
246
Coordonnées du fabricant
non disponible
Personne responsable
CMN Printpool Inh. Mathis Neumann
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Hamburg
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Autres éditions populaires du même titre

9783642259364: Incomplete Information System and Rough Set Theory: Models and Attribute Reductions

Edition présentée

ISBN 10 :  3642259367 ISBN 13 :  9783642259364
Editeur : Springer, 2012
Couverture souple