Advanced Preprocessing using Distinct User Identification in web log usage data

Abstract: Millions of visitors interact daily with web sites around the world. Huge amount of data are being generated and these information could be very prized to the company in the field of accepting Customer’s behaviors. In this paper a complete preprocessing methodology having data cleaning, Enhanced preprocessing technique one of the User Identification which is key issue in preprocessing technique phase is to identify the web users. Traditional User Identification is based on the site structure by using some heuristic rules. In most cases relationship between pages are based on the site topology which reduced the efficiency of identification solve this problem we introduced proposed Technique DUI (Distinct User Identification) based on IP address ,Agent ,Referred pages on desired session time. Which can be used in counter terrorism, fraud detection and detection of unusual access of secure data, as well as through detection of frequent access behavior get better the overall designing and performance of future access. Experiments have proved that advanced data preprocessing technique can enhanced the quality of data preprocessing results.

Keywords: Web usage mining, Preprocessing, User identification, Session time, Server log