摘要
针对动态变化的Web日志数据库,研究一种基于概念格的从最大频繁项集产生所有页面强规则的Web日志增量挖掘方法,对Web日志挖掘模式库的更新具有重要意义。
Incremental mining is an approach of data mining that refers to dynamic database or algorithm parameters,just mining the new model on the original basis of results,without rescanning the entire database,thereby enhancing the efficiency of data mining.A new thought of web log incremental mining for dynamic web log database is put forward,which is based on concept lattice of maximal frequent item set to generate all page association rules.It is useful to update pattern database.
出处
《武汉理工大学学报》
CAS
CSCD
北大核心
2010年第24期118-120,共3页
Journal of Wuhan University of Technology
基金
黔南民族师范学院2008年度院级科研项目
关键词
WEB日志挖掘
模式发现
增量挖掘
概念格
Web log mining
pattern discovery
incremental miningl
concept lattice
