Application of data mining techniques to the World Wide Web referred to as Web mining has been the focus of several recent research projects and papers However there is no established vocabulary leading to confusion when comparing research e orts The term Web mining has been used in two distinct ways The rst called Web content mining in this paper is the process of information discovery from so...

The explosive growth of the World Wide Web (WWW) has resulted in intricate Web sites, demanding for tools and methods to complement user skills in the task of searching for the desired information. In this context Web usage mining techniques have been developed for the discovery and analysis of frequent navigation patterns from Web server logs, which can be used as input for recommendation engi...

Web usage mining has been a major component of management strategy to enhance organizational analysis and decision. The literature on Web usage mining that deals with strategies and technologies for effectively employing Web usage mining is quite vast. In recent years, E-government has received much attention from researchers and practitioners. Huge amounts of user access data are produced in E...

The web mining is very interesting research topic which supports two of the activated research areas namely Data Mining and World Wide Web. The process of extracting knowledge and information from World Wide Web is defined as web mining. This paper is a survey based on recent work in the field of Web Usage Mining, an important type of web mining. It extracts required information from web log fi...

With the rapid growth of internet technologies, Web has become a huge repository of information and keeps growing exponentially under no editorial control. However the human capability to read, access and understand Web content remains constant. This motivated researchers to provide Web personalized online services such as Web recommendations to alleviate the information overload problem and pr...

Now a day, WWW has become important and huge data storage. All users' activities will be stored in log file. The log file shows the interest on the particular website. With a wide usage of internet, the log file size is growing rapidly. Web mining is the process of extracting information from web data. The raw log file won't reveal the users' accessing pattern. Thus, preprocessin...

In this paper an improved approach for pre processing of web logs data has been proposed and evaluated so that it can be applied for web logs of e-commerce web sites. The resultant web log data after these pre processing steps can be used for further pattern discovery and analysis that helps to provide useful prediction to enhance e-commerce. Ideally, the input for the Web Usage Mining process ...

Mining user profiles is a crucial task for Web usage mining, and can be accomplished by mining frequent patterns. However, in the Web usage domain, sessions tend to be very sparse, and mining the right user profiles tends to be difficult. Either too few or too many profiles tend to be mined, partly because of problems in fixing support thresholds and intolerant matching. Also, in the Web usage ...

To construct the log ontology is one of the main tasks of semantic Web usage mining. In order to discover the hierarchy of users’ visit interesting for web sites, we propose a taxonomic relationship learning approach for content events on log ontology. In this method, event is used to express the users’ visiting action, and content event is the semantic behavior of users’ visiting to the page c...

Web Usage Mining is a kind of web mining which provides knowledge about user navigation behavior and gets the interesting patterns from web. Web usage mining refers to the mechanical invention and scrutiny of patterns in click stream and linked data treated as a consequence of user interactions with web resources on one or more web sites. Identify the need and interest of the user and it’s usef...