A Survey on Web Log Mining Pattern Discovery

web is a great source of information and knowledge, where a numerous of users find their interest. The data available is in form of structured (relational) and text data. Therefore, different kinds of data model can be implementable with web data for pattern discovery. Web mining is a data mining tool where the web related data is evaluated for pattern discovery and user navigation pattern. Additionally, according to the nature of data, the kind of mining is also changed. The given paper includes the study about web mining tools and techniques, for finding informative pattern from the web access data. In this paper, a survey on different kinds of web usage mining techniques with their basic models and concepts is provided. In addition of that, for discovering the hidden pattern from web access log files a new model based on visual clustering is also suggested. Keywords— web mining, web usage mining, log analysis, data models, pattern discovery.