• 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