Web Usage Mining: Survey on Process and Methods

In today’s era, the internet playing an essential role in our day-to-day life. The internet has influenced every area of users. The tremendous growth of an internet raises the complexity to browse efficiently by the users. To understand and increase the performance of the website, a website is changed as per user’s needs. Web log files analyses to fulfil the needs of
auser; these log files are stored on server side. Through which the behaviour of users is capture. Web usage mining is an application to analyse interesting usage patterns from web log data. Web usage mining process is to discover patterns in three phase processes: data pre-processing, pattern discovery, pattern analysis. Log data contain an impurity and noise that why this data cannot directly used for pattern discovery. Pre-processing step is important in the mining process to get a right pattern from log data. Data pre-processing includes three steps data cleaning, user identification and session identification. In this paper, provides a detailed review on web usage mining process and methods.