3) By determining access behavior of users, needed links can be identified to improve the overall performance of future accesses. 4) Web usage patterns are used to gather business intelligence to improve customer attraction, customer retention, sales, marketing, and advertisements cross sales. 5) Web usage mining is used in e-Learning, e-Business, e-Commerce, e-Newspapers, e-Government and Digital Libraries. The information gathered through Web mining is evaluated by using traditional data mining parameters such as clustering and classification, association, and examination of sequential patterns. Web usage mining consists of three phases preprocessing, pattern discovery and pattern analysis. However [5], the data stored in the log files do not present an accurate picture of the users’ accesses to the Web Server. Hence, preprocessing of the Web log data is an essential and pre-requisite phase before it can be used for pattern discovery task.