In the recent years with the development of Internet technology the growth of World Wide Web exceeded all expectations. A lot of information is available in different formats and retrieving content has become a very difficult task. One possible approach to solving problem is Web Usage Mining (WUM). Web mining is the application of data mining on web data and web usage mining is an important component of web mining. The goal of web usage mining is to understand the behavior of website users through the process of data mining of web data and Web usage mining is to understand the behavior of website users through the process of data mining of web Access data. knowledge obtained from web usage mining can be used to enhance web design, introduce personalization service and facilitate more effective browsing the important an application of web mining extracting the hidden knowledge in the log files of a web server recognizing various interests of web users, discovering customer behaviour while at the site are normally referred as the application of web usage mining. In this paper, we provide an updated focused survey on different pattern discovery techniques of web usage mining.