Techniques of OLAP and Association Rule Mining
Abstract: - 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
How to Cite?: Gunwanti R. Bawane, Prarthana Deshkar, "Techniques of OLAP and Association Rule Mining", Volume 4 Issue 1, January 2015, International Journal of Science and Research (IJSR), Pages: 1990-1992, https://www.ijsr.net/getabstract.php?paperid=SUB15662, DOI: https://dx.doi.org/10.21275/SUB15662