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Rough Set Methods and Applications

New Developments in Knowledge Discovery in Information Systems

Produktform: E-Buch Text Elektronisches Buch in proprietärem

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.weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Elektronisches Format: PDF

Sprache(n): Englisch

ISBN: 978-3-7908-1840-6 / 978-3790818406 / 9783790818406

Verlag: Physica

Erscheinungsdatum: 07.10.2012

Seiten: 683

Herausgegeben von Shusaku Tsumoto, Lech Polkowski, Tsau Y. Lin

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