Techniques of OLAP and Association Rule Mining
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064



Review Papers | Computer Science & Engineering | India | Volume 4 Issue 1, January 2015

Techniques of OLAP and Association Rule Mining

Gunwanti R. Bawane, Prarthana Deshkar

- OLAP is a multidimensional view of complete data in the data store used for multidimensional analysis. It is the most practical approach used in the data warehouse for analytical process of large data and provides tools for analytical and statistical analysis of data. While Association rule learning is a popular and researched method for discovering interesting relations between variables in very large databases. It is intended to identify strong rules discovered in databases using different measures of interestingness. Apriori algorithm is used to discover the association rules and can be used to integrate with the OLAP systems.

Keywords: OLAP, Association rule, Apriori algorithm, data cube

Edition: Volume 4 Issue 1, January 2015

Pages: 1990 - 1992

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Gunwanti R. Bawane, Prarthana Deshkar, "Techniques of OLAP and Association Rule Mining", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SUB15662, Volume 4 Issue 1, January 2015, 1990 - 1992

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