A Review Analysis of Preprocessing Techniques in Web usage Mining

Abstract

The Internet web has become popular tool to assist human for their information needs from web server. Due to increasing number of users for web access day by day, there is a need to analyze behavior of such user, in order to monitor and improve performance and throughput of website. Web usage mining is one of the data mining applications which deal with web log files and extract useful information from web. There are different phases are for web usage mining: Data preprocessing, discover pattern and pattern analysis. Among them data preprocessing is the most crucial phase of web usage mining because without good quality of data it is difficult to identify pattern of users behavior. This paper provides reviews of different data preprocessing methods like data collection, data cleaning, User identification, session identification and path completion which will be useful for the community to select one or combination of available techniques in order to carry out efficient preprocessing in order to obtain reliable data mining outcome.