计算机与数字工程2011，Vol.39Issue(5)：33-35,66,4.
改进的关联规则挖掘算法在Web个性化服务中的应用
Application of Improved Association-rules Mining Algorithm in the Web Personalized Services
周凤丽 1于海平1
作者信息
- 1. 武汉科技大学城市学院信息工程学部,武汉,430083
- 折叠
摘要
Abstract
This Paper focuses on the Web Log Mining and the association-rules mining algorithm-FP_Growth algorithm. The author puts forward a model on web personal information mining and applies it to the individualized service system in digital library called as "My Library". The system proposes the users' interesting rules of implicit profiling using the association-rules mining algorithm. Then the implicit interesting records are recommended to the users and accomplish the individualized service.关键词
个性化服务/Web/日志挖掘/FP树/关联规则算法Key words
individualized service/ Web/ log mining/ FP tree/ association-rules mining algorithm分类
信息技术与安全科学引用本文复制引用
周凤丽,于海平..改进的关联规则挖掘算法在Web个性化服务中的应用[J].计算机与数字工程,2011,39(5):33-35,66,4.
