Incomplete Information System and Rough Set Theory: Models and Attribute Reductions
Author:   Xibei Yang ,  Jingyu Yang
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2012
ISBN:  

9783642259340


Pages:   232
Publication Date:   07 May 2012
Format:   Hardback
Availability:   In Print   Availability explained
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Incomplete Information System and Rough Set Theory: Models and Attribute Reductions


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""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.

Full Product Details

Author:   Xibei Yang ,  Jingyu Yang
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2012
Dimensions:   Width: 15.50cm , Height: 1.80cm , Length: 23.50cm
Weight:   0.529kg
ISBN:  

9783642259340


ISBN 10:   3642259340
Pages:   232
Publication Date:   07 May 2012
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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