DocumentCode :
243794
Title :
RQL: A SQL-Like Query Language for Discovering Meaningful Rules
Author :
Chardin, Brice ; Coquery, Emmanuel ; Pailloux, Marie ; Petit, Jean-Marc
Author_Institution :
LIAS, ISAE-ENSMA, France
fYear :
2014
fDate :
14-14 Dec. 2014
Firstpage :
1203
Lastpage :
1206
Abstract :
The Rule Query Language (RQL) is an SQL-like pattern mining language that extends and generalizes functional dependencies to new and unexpected rules. It brings to the data analysts´ desktop a convenient tool to discover logical implications between attributes of the database. Such implications may reveal data quality problems or surprising correlations between attributes over some part of the database. The computation of RQL queries is based on a query rewriting technique that pushes as much processing as possible to the underlying DBMS. This contribution is an attempt to bridge the gap between pattern mining and databases and facilitates the use of data mining techniques by SQL-aware analysts and students.
Keywords :
SQL; data mining; query processing; relational databases; rewriting systems; DBMS; RQL; SQL-like query language; pattern mining language; query rewriting technique; relational database; rule query language; Conferences; Data mining; Database languages; Education; Query processing; Remuneration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Mining Workshop (ICDMW), 2014 IEEE International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4799-4275-6
Type :
conf
DOI :
10.1109/ICDMW.2014.50
Filename :
7022734
Link To Document :
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