DocumentCode
2581847
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
fYear
0
fDate
0-0 0
Firstpage
440
Lastpage
444
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Database and Expert Systems Applications, 2006. DEXA '06. 17th International Workshop on
Conference_Location
Krakow
ISSN
1529-4188
Print_ISBN
0-7695-2641-1
Type
conf
DOI
10.1109/DEXA.2006.53
Filename
1698382
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