Web log mining based on improved FCM clustering algorithm

被引：1
|
作者：
Wang Zhijun [1 ]
Zhou Runjing [1 ]
机构：
[1] Inner Mongolia Univ, Coll Elect Informat Engn, Hohhot 010021, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON IMAGE PROCESSING AND PATTERN RECOGNITION IN INDUSTRIAL ENGINEERING | 2010年 / 7820卷
关键词：
Improved FCM; Web Log; Data Preprocessing; Clustering; FUZZY C-MEANS;
D O I：
10.1117/12.867261
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In view of more iterative times, longer convergence time and lower accuracy of Fuzzy C-Means (FCM) clustering algorithm, an improved FCM (IFCM) clustering algorithm is put forward. After data preprocessing of web log, fuzzy clustering to the web log data is adopted with the help of IFCM clustering algorithm. It can provide foundation and help for the subsequent web page optimization and personalization services.
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页数：8
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