Web usage Mining is an extension of traditional data mining. As the tremendous amount of data is increasing, the prominence of internet is growing. This impact upholds the user’s needs and the users are also increasing in enormous speed. Because of these realities the web data has been budding day to day. Therefore extracting the useful data from WWW has become the challenging one. Due to this fact the users are feeling disoriented. So it is necessary for the web usage miners to discover the new way of finding the desired information or the ease of accessing the web. As a result the web mining has become more popular and reached the peak in research field having in mind about mining the data and WWW as well. The aim of the proposed research is to survey on different Data preprocessing techniques carried out by most of researchers has been discussed, where this web log preparation is considered as the first step on web mining process to identify the user behavior. This phase is referred to be the most important process to ensure the quality of the log data. The log files are gathered and pre-processed by removing the unwanted or irrelevant information. A complete overview on data preprocessing may recommend better technique to find the user behavior and to improve the performance, and finally we concluded by providing a glimpse of various Web mining Applications.

Web usage mining, Web server log, Data Preprocessing, User identification, Session Identification

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