Incomplete Information System and Rough Set Theory: Models and Attribute Reductions
| Format | Electronic |
| Publication Info | New York : Springer La Vergne : MyiLibrary [Distributor] |
| Description | 238 p. |
| Supplemental Content | Full text available from Springer Nature - Springer Computer Science eBooks 2012 English International |
| Supplemental Content | Full text available from Springer Books |
| Summary | Annotation '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. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| ISBN | 9781283934886 |
| ISBN | 1283934884 (E-Book) Active Record |
| Standard identifier# | 9781283934886 |
| Stock number | 00024965 |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | ✔ Available |