A Survey on Web Log Analysis Tools

dc.contributor.author	Wai, Khaing Phyo
dc.contributor.author	Aung, Yi Yi
dc.date.accessioned	2019-10-25T07:53:46Z
dc.date.available	2019-10-25T07:53:46Z
dc.date.issued	2015-02-05
dc.identifier.uri	http://onlineresource.ucsy.edu.mm/handle/123456789/2343
dc.description.abstract	Web log data or click stream data has a lot of valuable information about a web site or web site visitors’ online behavior. Web usage analysis or web log mining is the process of capturing, analyzing and modeling the Web server logs. Analyzing of web usage mining has been made with the help of the web log analyzer tool to find out the abstract information from particular server and also tried to find out the user behavior. This paper survey the most famous log analyzer tools based on their features and difference between them. The aim of this survey is to help the web analysts to determine the best tool for what the need.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Thirteenth International Conference On Computer Applications (ICCA 2015)	en_US
dc.subject	Web Log Data	en_US
dc.subject	Web Log Mining	en_US
dc.subject	Web Usage Analysis	en_US
dc.subject	Web log Analyzer Tool	en_US
dc.title	A Survey on Web Log Analysis Tools	en_US
dc.type	Article	en_US