Incomplete Information System and Rough Set Theory e-bog
875,33 DKK
(inkl. moms 1094,16 DKK)
"e;Incomplete Information System and Rough Set Theory: Models and Attribute Reductions"e; 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 approache...
E-bog
875,33 DKK
Forlag
Springer
Udgivet
15 december 2012
Genrer
Databases
Sprog
English
Format
pdf
Beskyttelse
LCP
ISBN
9783642259357
"e;Incomplete Information System and Rough Set Theory: Models and Attribute Reductions"e; 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.