Titlebook: Rough Sets in Knowledge Discovery 2; Applications, Case S Lech Polkowski,Andrzej Skowron Book 1998 Physica-Verlag Heidelberg 1998 artificia

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Answering Non-Standard Queries in Distributed Knowledge-Based Systemsy-negative (g-negative) terms. L-negative terms refer to the situation when only a local site of DKBS is taken into cosideration. If any site of DKBS is considered for storing the data, we use g-negative terms instead.

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Rough Sets for Database Marketing analysis. The results indicate that on a dataset with only categorical information, the predictive performance of statistical techniques, machine learning techniques and neural networks on a validation dataset is very similar Still the observed differences are significant.

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Introducing the Bookry to manifold real — life problems. The collection . is divided into three Parts: APPLICATIONS (Part 1) where in consecutive chapters a discussion of theoretical principles and methods underlying specific applications of rough sets is undertaken, CASE STUDIES (Part 2) bringing forth papers illumina

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