一种基于本体理论的关联规则挖掘新方法

2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI:10.1109/ICACI.2012.6463170

Yongqing Wang, Yan Chen

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引用次数: 4

摘要

关联规则挖掘是从大量数据中寻找模式的过程。Apriori算法是最著名的关联规则挖掘算法，其目标是发现数据项之间的所有共现关系。本文提出了一种将Apriori算法与特定领域本体相结合的方法。该方法是为了有效地利用领域本体寻找多层关联规则。

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A new association rules mining method based on ontology theory

Association rules mining is a process of finding patterns from a very large volumes of data. The Apriori algorithm is the best-known association rules mining algorithm, whose objective is to find all co-occurrence relationships between data items. In this paper, a methodology that combines the Apriori algorithm with a domain-specific ontology is proposed. This method is to effectively utilize domain ontologies to find multiple layer association rules.

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2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)

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