Main Rough Set Methods and Applications: New Developments in Knowledge Discovery in Information Systems
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Rough Set Methods and Applications: New Developments in Knowledge Discovery in Information Systems

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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.


Request Code : ZLIBIO945265
Categories:
Year:
2000
Edition:
1
Publisher:
Physica-Verlag Heidelberg
Language:
English
Pages:
683
ISBN:
978-3-662-00376-3,978-3-7908-1840-6
Series:
Studies in Fuzziness and Soft Computing 56

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