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WLAR-Viz: weighted least association rules visualization

Noraziah, A. and Abdullah, Zailani and Herawan, Tutut and Mat Deris, Mustafa (2012) WLAR-Viz: weighted least association rules visualization. In: ICICA'12: Proceedings of the Third international conference on Information Computing and Applications, 14-16 September 2012, Chengde, China.

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Abstract

Mining weighted least association rules has been an increasing demand in data mining research. However, mining these types of rules often facing with difficulties especially in identifying which rules are really interesting. One of the alternative solutions is by applying the visualization model in those particular rules. In this paper, a model for visualizing weighted least association rules is proposed. The proposed model contains five main steps, including scanning dataset, constructing Least Pattern Tree (LP-Tree), applying Weighted Support Association Rules (WSAR*), capturing Weighted Least Association Rules (WELAR) and finally visualizing the respective rules. The results show that by using a three dimensional plots provide user friendly navigation to understand the weighted support and weighted least association rules.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: data mining; visualization; weighted least association rules
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Computer Science and Information Technology > Department of Software Engineering
Depositing User: Normajihan Abd. Rahman
Date Deposited: 11 Apr 2013 04:36
Last Modified: 11 Apr 2013 04:36
URI: http://eprints.uthm.edu.my/id/eprint/3575
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