SMARViz: soft maximal association rules visualization

Herawan, Tutut and Yanto, Iwan Tri Riyadi and Mat Deris, Mustafa (2009) SMARViz: soft maximal association rules visualization. In: IVIC '09: Proceedings of the 1st International Visual Informatics Conference on Visual Informatics: Bridging Research and Practice, 11-13 November 2009 , Kuala Lumpur, Malaysia.

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Official URL: http://dx.doi.org/10.1007/978-3-642-05036-7_63

Abstract

Maximal association rule is one of the popular data mining techniques. However, no current research has found that allow for the visualization of the captured maximal rules. In this paper, <em>SMARViz</em> (<em>Soft Maximal Association Rules Visualization</em> ), an approach for visualizing soft maximal association rules is proposed. The proposed approach contains four main steps, including discovering, visualizing maximal supported sets, capturing and finally visualizing the maximal rules under soft set theory.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:data mining; maximal association rules; soft set theory; visualization
Subjects:Q Science > QA Mathematics > QA76 Computer software
Divisions:Faculty of Computer Science and Information Technology > Department of Software Engineering
ID Code:3611
Deposited By:Normajihan Abd. Rahman
Deposited On:03 Jan 2016 15:16
Last Modified:03 Jan 2016 15:16

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