摘要
针对具体超市销售行业CRM进行分析,将聚类技术运用到关联规则发现领域,利用聚类技术压缩交易数据库,从而减少挖掘算法需要处理的数据量以提高挖掘效率,在企业现有数据的基础上进行实现,得到更好的挖掘效果。
Analyzes supermarket sales of industry-specific CRM, then applies to the field of association rule discovery, uses clustering technology, compression transactional database, thus reduces the mining algorithms need to handle the amount of data to improve mining efficiency, realizes on the basis of the existing data in the enterprise, gets better mining resuits.
出处
《现代计算机》
2009年第11期45-46,67,共3页
Modern Computer
关键词
关联规则
聚类算法
CRM
数据挖掘
Association Rules
Clustering Algorithm
CRM
Data Mining
