Title :
dmFSQL: a Language for Data Mining
Author :
Carrasco, Ramón Alberto ; Vila, María Amparo ; Araque, Francisco
Author_Institution :
Dpto. de Lenguajes y Sistemas Informaticos, Univ. de Granada
Abstract :
At present, we have a FSQL server available for Oraclecopy 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
Keywords :
SQL; data mining; fuzzy set theory; Oracle database; data mining fuzzy structured query language; dmFSQL; fuzzy SQL language; Concrete; Data mining; Database languages; Delta modulation; Expert systems; Fuzzy systems; High level languages; Hybrid intelligent systems; Relational databases; XML;
Conference_Titel :
Database and Expert Systems Applications, 2006. DEXA '06. 17th International Workshop on
Conference_Location :
Krakow
Print_ISBN :
0-7695-2641-1
DOI :
10.1109/DEXA.2006.53