| 书目名称 | Rough Set Theory: A True Landmark in Data Analysis |
| 编辑 | Ajith Abraham,Rafael Falcón,Rafael Bello |
| 视频video | |
| 概述 | Reports recent research results in rough set research.Includes supplementary material: |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | .Along the years, rough set theory has earned a well-deserved reputation as a sound methodology for dealing with imperfect knowledge in a simple though mathematically sound way. This edited volume aims at continue stressing the benefits of applying rough sets in many real-life situations while still keeping an eye on topological aspects of the theory as well as strengthening its linkage with other soft computing paradigms. The volume comprises 11 chapters and is organized into three parts. Part 1 deals with theoretical contributions while Parts 2 and 3 focus on several real world data mining applications. Chapters authored by pioneers were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed. Academics, scientists as well as engineers working in the rough set, computational intelligence, soft computing and data mining research area will find the comprehensive coverage of this book invaluable.. |
| 出版日期 | Book 2009 |
| 关键词 | Computational Intelligence; Computer-Aided Design (CAD); Evolution; Fuzzy; Rough Set Research; algorithms |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-540-89921-1 |
| isbn_softcover | 978-3-642-10062-8 |
| isbn_ebook | 978-3-540-89921-1Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer-Verlag Berlin Heidelberg 2009 |
发表于 2025-3-21 19:19:10
