In the last years with the development of Internet technology the enhancement of the World Wide Web grows up all expectations. More information is extant in different formats and retrieving content has become a very hard task. One possible approach to solve the issue is Web Usage Mining (WUM). Web mining is the petition of data mining on web data and web usage mining is a vital component of web mining. The aim of web usage mining is to perceive the demeanor of web site users using the process of data mining of web data and Web usage mining is to perceive the demeanor of web site users through the process of data mining of web Access data. knowledge obtained from web usage mining can be used to enhance web creation, introduce personalization service and facilitate more dominant browsing the vital an application of web mining extracting the secret knowledge in the log dossier of a web server recognizing more interests of web clients, searching customer behavior while at the site are normally referred as the application of web usage mining. In this paper, we provide an updated focused review on apart pattern discovery methods of web usage mining.