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17th International Conference on Database and Expert Systems Applications (DEXA'06)
dmFSQL: a Language for Data Mining
Krakow, Poland
September 04-September 08
ISBN: 0-7695-2641-1
Ram?n Alberto Carrasco, Universidad de Granada, Spain
Mar?a Amparo Vila, Universidad de Granada, Spain
Francisco Araque, Universidad de Granada, Spain
At present, we have a FSQL server available for Oracle? Databases which allow us to query a Fuzzy or Classical Database with the FSQL (Fuzzy SQL) language for any data type. The FSQL language is an extension of the SQL language, which permits us to write flexible conditions in our queries to a fuzzy or traditional database. In this paper, we proceed to extend FSQL into a new language called dmFSQL (data mining Fuzzy Structured Query Language) which can be used to solve real problems of clustering and classification. We consider that this model satisfies the requirements of Data Mining systems.
Citation:
Ram?n Alberto Carrasco, Mar?a Amparo Vila, Francisco Araque, "dmFSQL: a Language for Data Mining," dexa, pp.440-444, 17th International Conference on Database and Expert Systems Applications (DEXA'06), 2006
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