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http://dx.doi.org/10.3745/KIPSTD.2011.18D.6.423

XOnto-Apriori: An eXtended Ontology Reasoning-based Association Rule Mining Algorithm  

Lee, Chong-Hyeon (고려대학교 컴퓨터.전파통신공학과)
Kim, Jang-Won (고려대학교 컴퓨터.전파통신공학과)
Jeong, Dong-Won (군산대학교 정보통계학과)
Lee, Suk-Hoon (고려대학교 컴퓨터.전파통신공학과)
Baik, Doo-Kwon (고려대학교 컴퓨터.전파통신공학과)
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.
Keywords
Association Rule Mining; Personalized Recommender System; Ontology Reasoning; Apriori Algorithm;
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Times Cited By KSCI : 1  (Citation Analysis)
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