User-based approach for finding various results in web usage mining

The increasing use of internet has made human a slave of technology. The dependency of the user on internet is leading to the path in which various types of knowledge that can easily be available on the internet. People get knowledge about any website or matter over the internet. The page visited and various methods used can easily be find out based on various techniques. WUM and pre-processing has shown a new field of development in web. Path completion is a difficult and critical task in preprocessing phase. The pattern discovery and analysis are also important phases of wum. In recent years Recommender system have become extremely common. This proposed paper focuses on the user based data that can be fetched from the web log. The results show the user behavior towards various fields over the internet. The results are calculated on time-dependent and independent domains with consideration of the factors like page visited, time spent on pages, operating system used and browser used.