摘要
概念格是近年来的研究热点。本文将量化剪枝概念格引入关联规则求解中,它采用属性插入方式构造概念格及动态剪枝技术删减冗余概念,极大地提高了挖掘的时空性能,最后将该算法应用到服务贸易数据挖掘中,显示了一定的实际应用价值。
Research on concept is so popular in recent years. In this paper, the knowledge of quantitative pruned concept lattice is applied to the solution of association rules. It constructs concept lattice by attributes insertion and deletes redundant concepts by pruning dynamically, which greatly enhanced the space-time performance. Finally, the algorithm is applied to the mining of service trade and showed the certain actual value.
出处
《微计算机信息》
2009年第24期122-123,共2页
Control & Automation
关键词
数据挖掘
关联规则
概念格
服务外包
Data-mining
Association Rules
Concept Lattice
Service Trade
