An Algorithmic Approach to Data Preprocessing in Web Usage Mining
Web usage Mining is an area of web mining which deals with the extraction of interesting knowledge from logging information produced by web server. Different data mining techniques can be applied on web usage data to extract user access patterns and this knowledge can be used in variety of applications such as system improvement, web site modification, business intelligence etc. Web usage mining requires data abstraction for pattern discovery. This data abstraction is achieved through data preprocessing. In this paper, the authors survey about the data preprocessing activities like data cleaning, data reduction and related algorithms.