A tool for web usage mining

被引：0
|
作者：
Domenech, Jose M. [1 ]
Lorenzo, Javier [2 ]
机构：
[1] Hosp Juan Carlos I, Real Castillo 152, Las Palmas Gran Canaria 3571, Spain
[2] Univ Las Palmas, Inst Intelligent Systems Num Appl Engn, Las Palmas Gran Canaria 35017, Spain
来源：
INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2007 | 2007年 / 4881卷
关键词：
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a tool for web usage mining. The aim is centered on providing a tool that facilitates the mining process rather than implement elaborated algorithms and techniques. The tool covers different phases of the CRISP-DM methodology as data, preparation, data selection, modeling and evaluation. The algorithms used in the modeling phase are those implemented in the Weka project. The tool has been tested in a web site to find access and navigation patterns.
引用
收藏
页码：695 / +
页数：3
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