Titlebook: Rough Set Methods and Applications; New Developments in Lech Polkowski,Shusaku Tsumoto,Tsau Y. Lin Book 2000 Springer-Verlag Berlin Heidel

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Various Approaches to Reasoning with Frequency Based Decision Reducts: A Surveynsistent and/or noisy data tables. A special attention is paid to the notion of a rough membership decision reduct — a feature subset (almost) preserving the frequency based information about . dependencies. Approximate criteria of preserving such a kind of information under attribute reduction are

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Rough Set Methods for the Synthesis and Analysis of Concurrent Processesfrom the domains such as, for example: knowledge discovery systems, data mining, control design, decomposition of information systems, object identification in real-time. this Chapter includes, in particular, the description of automatic methods for the modeling and analysis of concurrent systems sp

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宽宏大量

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Data Mining in Incomplete Information Systems from Rough Set Perspective Algorithms, which mine in very large incomplete information systems for certain, possible and generalized decision rules are presented. The algorithms are based on efficient data mining techniques devised for association rules generation from large data bases. The algorithms are capable to generate

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Rough Sets and Rough Logic: A KDD Perspectiveorld-wide growth of interest in rough sets and their applications. There are numerous areas of successful applications of rough set software systems [101]. Many interesting case studies are reported (for references see e.g., [100, 101], [87] and the bibliography in these books, in particular [19], [

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Lech Polkowski,Shusaku Tsumoto,Tsau Y. Lin% of cases. However, sensorineural hearing losses are still commonly encountered in the clinical setting, and many cases of paediatric sensorineural hearing loss are congenital in nature. For children, an effusion of the middle ear, or otitis media accompanied by an effusion, (OME) is, by a consider