文章基本信息

标题：Identifying System Errors through Web Server Log Files in Web Log Mining
本地全文：下载
作者：Arjun Ram Meghwal ; Dr. Arvind K Sharma
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2016
卷号：7
期号：1
页码：57-61
语种：English
出版社：Ayushmaan Technologies
摘要：Web log mining is an application of data mining techniques to discover usage patterns from web data, in order to better serve the needs of web based applications. The user access log files present significant information about a web server. Websites have been playing vital role in providing an information and knowledge to the end users. Web usage patterns are an important aspect to discover hidden and meaningful information. It will be a big challenge in web log mining when the volume of traffic is large and the volume of web data is still in the growing phase. To face the challenges, an approach for web log mining is shown. In this paper we have been identifying system errors through web server log files for web log mining with the help of web log analyzer.
关键词：Web Log Mining;Web Server Log Files;WebLog Expert Lite