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Improving mining efficiency: A new scheme for extracting association rules


Said, Aiman Moyaid and Dominic, P D D. and Abdullah, Azween (2009) Improving mining efficiency: A new scheme for extracting association rules. In: International Conference on Computing and Informatics 2009 (ICOCI09), 24-25 June 2009, Legend Hotel, Kuala Lumpur.

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Abstract

In the age of information technology, the amount of accumulated data is tremendous. Extracting the association rule from this data is one of the important tasks in data mining.Most of the existing association rules in algorithms typically assume that the data set can fit in the memory.In this paper, we propose a practical and effective scheme to mine association rules from frequent patterns, called Prefixfoldtree scheme (PFT scheme).The original dataset is divided into folds, and then from each fold the frequent patterns are mined by using the tree projection approach.These frequent patterns are combined into one set and finally interestingness constraints are used to extract the association rules.The experiments will be conducted to illustrate the efficiency of our scheme.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN 978-983--44150-2-0 Organized by: College of Arts & Sciences, Universiti Utara Malaysia.
Uncontrolled Keywords: Data mining, Association Rules, Prefixfoldtree scheme, Frequent patterns, Fold.
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: College of Arts and Sciences
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 01 Apr 2015 07:13
Last Modified: 01 Apr 2015 07:13
URI: http://repo.uum.edu.my/id/eprint/13494

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