Analysis of Web Usage Patterns to Identify Most Frequently Accessed Web Page by Multiple Users

被引：0
|
作者：
Verma, Priyanka [1 ]
Kesswani, Nishtha [2 ]
机构：
[1] IIS Deemed Univ, Jaipur, Rajasthan, India
[2] Cent Univ, Bandar Sindri, Ajmer, India
来源：
4TH INTERNATIONAL CONFERENCE ON INTERNET OF THINGS AND CONNECTED TECHNOLOGIES (ICIOTCT), 2019: INTERNET OF THINGS AND CONNECTED TECHNOLOGIES | 2020年 / 1122卷
关键词：
Web; Usage; Patterns; Navigation; Log file; Web Usage Mining;
D O I：
10.1007/978-3-030-39875-0_16
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
All Data related to web sites that we access is stored in web logs. Increase in browsing these days has led to increase in size of these web log files. Web Mining is one technique that can be applied to these log files to mine navigational patterns. There are various types of web mining depending upon data mined Content, Usage or Structure. In this paper we focus on Mining of usage patterns: Web Usage Mining to discover most frequently accessed web page by multiple users after preprocessing of log file.
引用
收藏
页码：151 / 159
页数：9
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