摘要
针对当前关联规则挖掘存在的不足,在充分利用本体特点的基础上,对关联规则挖掘方法进行了改进。提出了一种面向领域的噪音清除算法,结合Apriori算法优点,又提出了一种改进的关联规则挖掘算法,采用领域本体技术来优化规则,从而去除冗余规则。通过实验验证所提方法的有效性。
According to the problems of association rules, an improved mining association rules method is proposed based on characteristics of ontology. A domain-oriented noise removal algorithm is proposed. An improved algorithm for mining association rules is proposed, In the part of the semantic retrieval technology optimization, combining with the advantages of apriori algorithm, which uses ontology technology to optimize rules thereby removing redundant rules. An experiment is given to verify the effectiveness of the method.
出处
《黑龙江大学自然科学学报》
CAS
北大核心
2014年第6期825-830,共6页
Journal of Natural Science of Heilongjiang University
基金
福建省自然科学基金资助项目(2012J01272)
关键词
关联规则
本体
噪音清除
语义检索
association rule
ontology
noise removal
semantic retrieval
