Suggest : A web usage mining system

被引:0
|
作者
Baraglia, R [1 ]
Palmerini, P [1 ]
机构
[1] IstcnrIst Consiglio Nazl Ric, CNUCE, Pisa, Italy
关键词
data mining; web usage mining; user classification; web personalization; adaptive web system;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
During their navigation web users leave many records of their activity. This huge amount of data can be a useful source of knowledge. Sophisticated mining processes are needed for this knowledge to be extracted, understood and used. In this paper we propose a Web Usage Mining (WUM) system, called SUGGEST, designed to efficiently integrate the WUM process with the ordinary web server functionalities. It can provide useful information to make easier the web user navigation and to optimize the web server performance. Two quantities are introduced in order to give a measure of the quality of our WUM system.
引用
收藏
页码:282 / 287
页数:6
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