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