Web Usage Mining by Data Preprocessing
Arshi Shamsi, Rahul Nayak, Pankaj Pratap Singh, Mahesh Kumar Tiwari · 2012
Now a day’s many web sites are growing and which indirectly leads to increase the complexity of web site designing. To simplify this we have to understand how web sites are being used, how navigation is done, and how many users use it and how much time user spends on pages. This is done using Web Usage Mining. Data sources to usage mining are client side cookies, web server log, software agent etc. This paper presents, how web server log data is preprocesses, which includes data cleaning, user identification and Sessionization, path completion. Once the data is preprocessed it is used for discovering some useful patterns. In this paper, I have cover only the case of a Web server (HTTP server) data. Following fig. 2 shows the sample web server log data recorded by the WebLog Expert lite tool.