基于扩展本体推理的关联规则挖掘算法

Chong-Hyeon Lee, Jang-won Kim, Dongwon Jeong, Sukhoon Lee, D. Baik
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引用次数: 0

摘要

本文介绍了Onto-Apriori算法,它是对Onto-Apriori算法的扩展。该扩展算法通过对属于同一类别的交易项的交易属性进行推理,改进了传统算法只比较交易项标识符的问题。我们展示了挖掘算法如何与基于我们扩展算法的智能手机应用程序推荐系统一起工作,以清楚地描述提供个性化推荐的过程。此外,我们的仿真结果验证了我们对算法开销、精度和召回率的分析。
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XOnto-Apriori: An eXtended Ontology Reasoning-based Association Rule Mining Algorithm
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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