The Study on Web Data Mining based on Belief Rough Set Classification

摘要：

In this paper,a new approach of classification system based on rough sets named BRSC have been applied to generate a classification model from uncertain data consisting of web usage.The uncertainty appears only in decision attributes and is handled by the TBM,one interpretation of the belief function theory.The feature selection step used to construct the BRSC is based on the calculation of dynamic core to extract more relevant and stable features for the classification process.In experimentations,three evaluation criteria have been chosen to judge the performance of the BRSC applied to the web usage mining dataset.

关键词： Web Data Mining Rough Set

作者: LI Gui-ling

作者单位: Computer Engineering College Siping Professional College Siping,Jilin,China,136002

会议类型: 国际会议

会议名称: 2011 International Conference on Computer and Network Engineering(ICCNE 2011)(2011年计算机与网络工程国际会议)

会议地点: 郑州

会议语种:英文

页码: 438-442

在线出版日期: 2011-06-17（万方平台首次上网日期，不代表论文的发表时间）