山东科学2011，Vol.24Issue(5)：76-80,84,6.
基于关联图的改进关联规则在推荐系统中的应用
An application of improved association rules of an association graph in a recommendation system
王林林 1石冰 1胡元 1邢海华2
作者信息
- 1. 山东大学计算机科学与技术学院,山东济南250101
- 2. 中国人民解放军77675部队,西藏林芝860000
- 折叠
摘要
Abstract
This paper presents an improved association rule mining algorithm for the recommended system, and our definition for the page weights. We improve the association graph based association rules mining algorithm, and apply the page weights to the mining of association rules. This algorithm employs the data acquired after pretreatment to web log to mine the association rules. Page weights are obtained through the processing of such data with a normal distribution function. The algorithm then uses the page weights to recalculate the page support, which is applied to the improved rule mining algorithm. We can therefore acquire page weights based association rule algorithm of an association graph.关键词
页面权值/正态分布/Web日志数据挖掘：关联规则Key words
page weight/normal distribution/web log data mining/association rule分类
信息技术与安全科学引用本文复制引用
王林林,石冰,胡元,邢海华..基于关联图的改进关联规则在推荐系统中的应用[J].山东科学,2011,24(5):76-80,84,6.
