DATA MINING TECHNIQUES WITH WEB LOG: A REVIEW

Abstract

mining is the use of data mining techniques to automatically discover and extract information from web data, including web documents, hyperlinks between documents, usage logs of web sites, etc. Since large volumes of data is stored on web majority of the information retrieved through search engines may not be of much use to the web users. The information/data available on the web are extremely dynamic. The uploaded information can be used to gain more knowledge and based on the findings and analysis of the information make predictions as to what would be the best choice and the right approach to move toward on a particular issue. Application of data mining techniques would help to achieve the same. Web data mining is not only focused to gain business information but also used by various organizational departments to make the right predictions and decisions on business development, work flow, production processes and more by going through the business models derived from the data mining. In this paper a comprehensive review of different web mining techniques is being presented with their limitations.