0
Your cart

Your cart is empty

Books > Computing & IT > Applications of computing > Artificial intelligence

Buy Now

Incomplete Information System and Rough Set Theory - Models and Attribute Reductions (Hardcover, 2012) Loot Price: R2,902
Discovery Miles 29 020
Incomplete Information System and Rough Set Theory - Models and Attribute Reductions (Hardcover, 2012): Xibei Yang, Jingyu Yang

Incomplete Information System and Rough Set Theory - Models and Attribute Reductions (Hardcover, 2012)

Xibei Yang, Jingyu Yang

 (sign in to rate)
Loot Price R2,902 Discovery Miles 29 020 | Repayment Terms: R272 pm x 12*

Bookmark and Share

Expected to ship within 10 - 15 working days

"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.

General

Imprint: Springer-Verlag
Country of origin: Germany
Release date: May 2012
First published: 2012
Authors: Xibei Yang • Jingyu Yang
Dimensions: 235 x 155 x 18mm (L x W x T)
Format: Hardcover
Pages: 232
Edition: 2012
ISBN-13: 978-3-642-25934-0
Categories: Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 3-642-25934-0
Barcode: 9783642259340

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

Partners