An eXtended Ontology Reasoning-based Association Rule Mining Algorithm


KIPS Transactions on Software and Data Engineering, Vol. 18, No. 6, pp. 423-432, Jun. 2011
10.3745/KIPSTD.2011.18.6.423, Full Text:

Abstract

In this paper, we introduce XOnto-Apriori algorithm which is an extension of the Onto-Apriori algorithm. The extended algorithm is designed to improve the conventional algorithm`s problem of comparing only identifiers of transaction items by reasoning transaction properties of the items which belong in the same category. We show how the mining algorithm works with a smartphone application recommender system based on our extended algorithm to clearly describe the procedures providing personalized recommendations. Further, our simulation results validate our analysis on the algorithm overhead, precision, and recall.


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Cite this article
[IEEE Style]
C. H. Lee, J. W. Kim, D. W. Jeong, S. H. Lee and D. K. Baik, "An eXtended Ontology Reasoning-based Association Rule Mining Algorithm," KIPS Journal D (2001 ~ 2012) , vol. 18, no. 6, pp. 423-432, 2011. DOI: 10.3745/KIPSTD.2011.18.6.423.

[ACM Style]
Chong Hyeon Lee, Jang Won Kim, Dong Won Jeong, Suk Hoon Lee, and Doo Kwon Baik. 2011. An eXtended Ontology Reasoning-based Association Rule Mining Algorithm. KIPS Journal D (2001 ~ 2012) , 18, 6, (2011), 423-432. DOI: 10.3745/KIPSTD.2011.18.6.423.