Implementation of a New Approach to Mine Web Log Data Using Mater Web Log Analyzer

Web is a large and dynamic domain of knowledge and discovery. Many of researcher, technicians and different research organizations are collect and find the important data from web. In this paper, the authors emphasize on a new approach over the information gathering by the mining of web access logs or web usage data. Their propose framework is composed of five steps. The first step, Web usage based mining on Web Logs Data is applied for preprocessing of web log and extract the formal information from the log file. In next step, User profiling is creating by session identification of same IP Source. In third steps Web Log classification algorithm applied on user profiled data for predict response of server for user request.

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International Journal of Emerging Technology and Advanced Engineering (IJETAE)