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, SMARViz (Soft Maximal Association Rules Visualization), 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. © 2009 Springer-Verlag.
Author supplied keywords
Cite
CITATION STYLE
Herawan, T., Yanto, I. T. R., & Deris, M. M. (2009). SMARViz: Soft maximal association rules visualization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5857 LNCS, pp. 664–674). https://doi.org/10.1007/978-3-642-05036-7_63
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
