Implementation and Evaluation of Optimal Algorithms For Computing Association Rule Learning

Title: Implementation and Evaluation of Optimal Algorithms For Computing Association Rule Learning
Publisher: Guru Nanak Publications
ISSN: 2278-0947
Series: Volume 3 Issue 2
Authors: Amarjeet Kaur, Gurpreet Singh and Kumar Saurabh


Abstract

Association rule learning is a popular method for discovering interesting relations between variables in large database. It is often used in market basket analysis domain. Eg. A customer may buy onions and potatoes then he buys also beef. But, in fact, it can be implemented in various application areas where we want to discover the association between variables. The A PRIORI approach is certainly the most popular on [1]. But, despite its good properties, this method has a drawback: the number of obtained rules can be very high. The ability to underline the most interesting rules, those which are relevant, becomes a major challenge.

Keywords

Apriori algorithm, Data mining, Information extraction.

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