Analysis of Web Site Using Web Log Expert Tool Based on Web Data Mining

被引：0
|
作者：
Singh, Satya Prakash [1 ]
Meenu [1 ]
机构：
[1] Madan Mohan Malaviya Univ Technol, Dept Comp Sci & Engn, Gorakhpur, UP, India
来源：
2017 INTERNATIONAL CONFERENCE ON INNOVATIONS IN INFORMATION, EMBEDDED AND COMMUNICATION SYSTEMS (ICIIECS) | 2017年
关键词：
Web mining; Web Access Logs; Web Log Analyzer; Web Log Expert Lit9.3; Log files; METHODOLOGY; PATTERNS;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Web Usage Mining (WUM) is the part of Web Mining. There are data mining mechanism to fetch and discover knowledge from the web data. Web usage mining uses data mining process for the research of the usage pattern from data fetched from the web log files. Web is the collection of academic educational institute wed server data was analyze to help the institute for further improving the terms and policies of the service they provide. Web usage is also useful for improving or identifying the visitor of website by aditing the log files of that site. The focus is on the data collection in web servers of academic educational institution and implement. The using Web Log Expert lite 9.3 tools and analyze.
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页数：5
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