摘要
数据挖掘与知识评价相结合是数据挖掘工作研究的重要方面,也是发挥数据挖掘潜力的重要手段。讨论了数据挖掘和知识评价的结合方式以及灰色关联分析,提出并实现了用灰色关联分析方法构建"感兴趣产生器"并结合关联规则的数据挖掘框架及算法。最后,通过实例证明了该算法挖掘效率高、挖掘效果好,挖掘结果有较高的用户感兴趣度。
It is important that data mining is combined with knowledge evaluation, and it is as well efficient means to realize potential of data mining. Problems about combining data mining with knowledge evaluation, and gray relational analysis are discussed. An architecture and algorithm to data mining combined gray relational analysis as creator of interestingness with association rules is put forward and implemented. Finally, it is proved by an example that the algorithm is of high efficiency, good purpose and that the result of data mining is of higher using interestingness.
出处
《计算机工程与设计》
CSCD
北大核心
2008年第16期4242-4244,4248,共4页
Computer Engineering and Design
基金
国家自然科学基金项目(60573179)
安康学院基金项目(AYQDZR200632)
关键词
灰色关联分析
知识评价
感兴趣产生器
关联规则
数据挖掘
gray relational analysis
knowledge evaluation
creator ofinterestingness
association rules
data mining
