Titlebook: Rough Sets and Data Mining; Analysis of Imprecis T. Y. Lin,N. Cercone Book 1997 Kluwer Academic Publishers 1997 algorithms.artificial intel

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Theories that Combine Many Equivalence and Subset Relationsties which can be represented by equivalence and implication relation, and we show how taxonomies and subset graphs can capture large numbers of regularities in those categories. We illustrate the presented algorithms by applications on two databases.

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Book 1997and others. ..Rough Sets and Data Mining: Analysis of Imprecise Data. will be auseful reference work for rough set researchers, data base designersand developers, and for researchers new to the areas of data miningand rough sets.

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Machine Learning & Knowledge Acquisition, Rough Sets, and the English Semantic Codeing additional terms in .. The results of this research are promising, so that now we would like to employ this approach to providing a comprehensive whole-language base for general use in building varied natural-language computing applications.