Titlebook: New Directions in Rough Sets, Data Mining, and Granular-Soft Computing; 7th International Wo Ning Zhong,Andrzej Skowron,Setsuo Ohsuga Confe

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態(tài)學(xué)

Preamble

On Text Mining Techniques for Personalizationssification, clustering and partial supervision. We examine the advantages and disadvantages of each approach. Some Web specific enhancements are discussed. Applications of text mining techniques to collaborative filtering have then been examined. Specifically, a content-based collaborative filtering approach is considered.

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Rough Genetic Algorithmser describes how this generalization facilitates development of new genetic operators and evaluation measures. The use of rough genetic algorithms is demonstrated using a simple document retrieval application.

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充足

Noise Reduction in Telecommunication Channels Using Rough Sets and Neural Networksprocessing. The foundations of the engineered method and a description of applied decision algorithms are presented. A number of experiments have been prepared; and some of them have already been carried out. A brief discussion of these experiments’ results and some conclusions are also included.

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