An Association-Analysis Based Web Mining Preprocessing Algorithm

摘要：

　　Aimed to overcome the deficiency of abundant data to web mining,the paper proposed an association-analysis based algorithm.Firstly,we construct the relation Information System using original data sets.Secondly,make use of attribute reduction theory of Rough sets to produce the Core of Information System.Core is the most important and necessary information which cannot reduce in original Information System.So it can get a same effect as original data sets to data analysis,and can construct classification modeling using it.Thirdly,construct indiscernibility matrix using reduced Information System,and finally,get the classification of original data sets.The experiments shows that the proposed algorithm can get high efficiency and can avoid the abundant data in follow-up data processing.

关键词： web mining data mining association analysis

作者: MA Dong-Lin GAO Wei-Jun

作者单位: Lanzhou University of Technology, Lanzhou 730050, china

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 3642-3646

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）