The Research of Web Mining Algorithm Based on Variable Precision Rough Set Model

被引：0
|
作者：
Zhang, ZhiQiang [1 ]
Zhang, SuQing [1 ]
机构：
[1] Henan Occupat Tech Coll, Zhengzhou 450046, Peoples R China
来源：
ADVANCES IN FUTURE COMPUTER AND CONTROL SYSTEMS, VOL 1 | 2012年 / 159卷
关键词：
web mining; variable precision rough set model; rough set;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Variable precision rough set model is the extension of rough set model, which introduce the beta parameter based on the basic rough set theory, that is, allows a certain degree of misclassification rate existing. This paper presents the web mining algorithm based on variable precision rough set in e-commerce, analyzes the limitation of the reduction methods based on variable precision rough set theory. The experiment shows the CPU Time in the attribute numbers. indicating that VPRS is superior to normal algorithm in web mining in e-commerce. The experiments show the algorithm could flexibly and dynamically web mining and therefore provide a valuable addition to the field.
引用
收藏
页码：573 / 578
页数：6
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