摘要
关联规则挖掘是数据挖掘中重要的研究课题，已有许多有效的实现算法。然而，这些算法找到的关联规则数目太多，用户无法对其进行分析。为了克服这个问题，出现了一些关联规则衡量标准来分析规则的有趣性，在本文里我们在给出的实例上比较分析了一些关联规则客观兴趣度度量指标，提出了使用关联规则客观兴趣度度量指标的一些建议。
Discovering association rules is one of the most important tasks in data mining and many effieient algorithms were proposed in literature. However, the number of discovered rules is open so large, so the User cannot analyze all discovered rifles. To overcome that problem several methods for mining interesting rulers only have been proposed. Many measures have been proposed to determine the interestingness of the rule. In this paper we have selected a few of different measures, we have compared these measures by using a data set, and we have mode some recommendation about the use of the measures for discovering the most interesting rulers.
出处
《情报学报》
CSSCI
北大核心
2007年第2期266-270,共5页
Journal of the China Society for Scientific and Technical Information
关键词
数据挖掘
关联规则
兴趣度度量
data mining, association rules, interesting measure
