Chong-Hyeon Lee, Jang-won Kim, Dongwon Jeong, Sukhoon Lee, D. Baik
{"title":"XOnto-Apriori: An eXtended Ontology Reasoning-based Association Rule Mining Algorithm","authors":"Chong-Hyeon Lee, Jang-won Kim, Dongwon Jeong, Sukhoon Lee, D. Baik","doi":"10.3745/KIPSTD.2011.18D.6.423","DOIUrl":null,"url":null,"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.","PeriodicalId":348746,"journal":{"name":"The Kips Transactions:partd","volume":"98 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Kips Transactions:partd","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3745/KIPSTD.2011.18D.6.423","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.