Fuzzy Kim. Un sistema de Mineŕıa de Datos con ayuda inteligente basado en técnicas de Soft-Computing TIC2002-04021-C02-02

The main aim of this project is the development of an intelligent system for Data Mining (DM) with the following features: It must be able to response to the different environments that any user may propose. Specially, it have to deal with imprecise and uncertain data and requirements. It must be able to provide information about the ”quality” of the obtained knowledge, by giving alternative techniques to solve the arise problems It must be capable to learn, by recording the obtained knowledge and using it in new queries. Therefore, it should include deductive abilities. Such a system should include a platform where the different ”classical” techniques of DM are integrated together, namely those which developed by the project research groups, with a common representation schema and a unified DM language (dmlanguage). Both representation schema, dmlanguage and some DM techniques should be found in the ”Soft Computing” paradigm.