摘要
基于D_S证据理论,提出一种新的Web事务识别方法,融合多个特征对Web事务进行综合评判,并选取计算代价较小的特征及高效的融合规则,保证算法性能的高效.实验结果表明,该方法与其他事务识别方法相比,具有更高的事务识别率.
Presents a novel Web transaction identification method based on Dempster-Shafer (D_S) evidence theory. This method fuses multiple features of Web session to decide whether user's interest is changed. Furthermore, light-computation features are used to develop an efficient fusion mechanism to guarantee high performance of the algorithm. Compared with other transaction identification methods, experimental results showed that our method achieves a high performance.
出处
《北京理工大学学报》
EI
CAS
CSCD
北大核心
2009年第9期807-810,共4页
Transactions of Beijing Institute of Technology
基金
国家部委基金资助项目(20021823)