Web Miner: A Tool for Discovery of Usage Patterns From Web Data
Journal Title: International Journal on Computer Science and Engineering - Year 2013, Vol 5, Issue 5
Abstract
As there is a huge amount of data available online, the World Wide Web is a fertile area for data mining research. In recent years a various surveys have been performed on static data of web sites to perform web usage mining. This paper deals with the Web usage mining of a website which is hosted on IIS web server. Web usage mining is the area of data mining which deals with the discovery and analysis of usage patterns from Web data, specifically web logs, in order to perform improvements in web based applications. Web usage mining consists of three phases, pre-processing, pattern discovery, and pattern analysis. After the completion of these three phases the user can find the required usage patterns and use this information for the specific needs. The research is being performed on a log file using Log Parser.
Authors and Affiliations
Roop Ranjan , Sameena Naaz , Neeraj Kaushik
Keywords
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