| 书目名称 | Partial Covers, Reducts and Decision Rules in Rough Sets | | 副标题 | Theory and Applicati | | 编辑 | Mikhail Ju. Moshkov,Marcin Piliszczuk,Beata Zielos | | 视频video | | | 概述 | Latest research on Partial covers, reducts and decision rules in rough sets | | 丛书名称 | Studies in Computational Intelligence | | 图书封面 |  | | 描述 | .This monograph is devoted to theoretical and experimental study of partial reducts and partial decision rules on the basis of the study of partial covers. The use of partial (approximate) reducts and decision rules instead of exact ones allows us to obtain more compact description of knowledge contained in decision tables, and to design more precise classifiers. Algorithms for construction of partial reducts and partial decision rules, bounds on minimal complexity of partial reducts and decision rules, and algorithms for construction of the set of all partial reducts and the set of all irreducible partial decision rules are considered. The book includes a discussion on the results of numerous experiments with randomly generated and real-life decision tables. These results show that partial reducts and decision rules can be used in data mining and knowledge discovery both for knowledge representation and for prediction....The results obtained in the monograph can be useful for researchers in such areas as machine learning, data mining and knowledge discovery, especially for those who are working in rough set theory, test theory and LAD (Logical Analysis of Data). The monograph can | | 出版日期 | Book 2008 | | 关键词 | Analysis; algorithm; algorithms; complexity; construction; data mining; knowledge; knowledge discovery; know | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-540-69029-0 | | isbn_softcover | 978-3-642-08859-9 | | isbn_ebook | 978-3-540-69029-0Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | Springer-Verlag Berlin Heidelberg 2008 |
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发表于 2025-3-21 18:17:59
