Paper Info
Title
dmFSQL: a Language for Data Mining
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
Year
DOI
Venue
2006
10.1109/DEXA.2006.53
DEXA Workshops
Keywords
Field
DocType
SQL,data mining,fuzzy set theory,Oracle database,data mining fuzzy structured query language,dmFSQL,fuzzy SQL language
SQL,Data mining,RDF query language,Query language,Programming language,Computer science,Data control language,Language Integrated Query,Data definition language,Query by Example,Data manipulation language,Database
Conference
ISSN
ISBN
Citations 
1529-4188
0-7695-2641-1
7
PageRank 
References 
Authors
0.55
5
3
Name
Order
Citations
PageRank
Ramón Alberto Carrasco17810.67
María Amparo Vila Miranda2118293.57
Francisco Araque37312.27