A New Importance Measure of Association Rules Using Information Theory


KIPS Transactions on Software and Data Engineering, Vol. 3, No. 1, pp. 37-42, Jan. 2014
10.3745/KTSDE.2014.3.1.37, Full Text:

Abstract

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Cite this article
[IEEE Style]
C. H. Lee and J. H. Bae, "A New Importance Measure of Association Rules Using Information Theory," KIPS Transactions on Software and Data Engineering, vol. 3, no. 1, pp. 37-42, 2014. DOI: 10.3745/KTSDE.2014.3.1.37.

[ACM Style]
Chang Hwan Lee and Joo Hyun Bae. 2014. A New Importance Measure of Association Rules Using Information Theory. KIPS Transactions on Software and Data Engineering, 3, 1, (2014), 37-42. DOI: 10.3745/KTSDE.2014.3.1.37.