| 书目名称 | Rough Sets and Data Mining | | 副标题 | Analysis of Imprecis | | 编辑 | T. Y. Lin,N. Cercone | | 视频video | | | 图书封面 |  | | 描述 | .Rough Sets and Data Mining: Analysis of Imprecise Data. isan edited collection of research chapters on the most recentdevelopments in rough set theory and data mining. The chapters in thiswork cover a range of topics that focus on discovering dependenciesamong data, and reasoning about vague, uncertain and impreciseinformation. The authors of these chapters have been careful toinclude fundamental research with explanations as well as coverage ofrough set tools that can be used for mining data bases. .The contributing authors consist of some of the leading scholars inthe fields of rough sets, data mining, machine learning and otherareas of artificial intelligence. Among the list of contributors areZ. Pawlak, J Grzymala-Busse, K. Slowinski, and others. ..Rough Sets and Data Mining: Analysis of Imprecise Data. will be auseful reference work for rough set researchers, data base designersand developers, and for researchers new to the areas of data miningand rough sets. | | 出版日期 | Book 1997 | | 关键词 | algorithms; artificial intelligence; data mining; database; evolution; evolutionary computation; fuzzy; fuz | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4613-1461-5 | | isbn_softcover | 978-1-4612-8637-0 | | isbn_ebook | 978-1-4613-1461-5 | | copyright | Kluwer Academic Publishers 1997 |
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发表于 2025-3-21 17:36:07
