| 书目名称 | Rough Set Methods and Applications |
| 副标题 | New Developments in |
| 编辑 | Lech Polkowski,Shusaku Tsumoto,Tsau Y. Lin |
| 视频video | |
| 概述 | Presentation of the state of the art in rough set methods.Rich inventory of algorithmic and heuristic tools.Extensive bibliography |
| 丛书名称 | Studies in Fuzziness and Soft Computing |
| 图书封面 |  |
| 描述 | Rough set approach to reasoning under uncertainty is based on inducing knowledge representation from data under constraints expressed by discernibility or, more generally, similarity of objects. Knowledge derived by this approach consists of reducts, decision or association rules, dependencies, templates, or classifiers. This monograph presents the state of the art of this area. The reader will find here a deep theoretical discussion of relevant notions and ideas as well as rich inventory of algorithmic and heuristic tools for knowledge discovery by rough set methods. An extensive bibliography will help the reader to get an acquaintance with this rapidly growing area of research. |
| 出版日期 | Book 2000 |
| 关键词 | Knowledge Discovery; Knowledge Representation; Rough Sets; classification; data mining; information syste |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-7908-1840-6 |
| isbn_softcover | 978-3-662-00376-3 |
| isbn_ebook | 978-3-7908-1840-6Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
| issn_series | 1434-9922 |
| copyright | Springer-Verlag Berlin Heidelberg 2000 |
发表于 2025-3-21 18:08:07
