A WEB USAGE MINING FRAMEWORK FOR MINING EVOLVING USER PROFILES IN DYNAMIC WEB SITES

Abstract This paper provides a complete framework and findings in mining Web usage patterns from Web log files of a real Web site that has all the challenging aspects of real-life Web usage mining, including evolving user profiles and external data describing an ontology of the Web content. This paper provides a complete framework and findings in mining Web usage patterns from Web log files of a real Web site that has all the challenging aspects of real-life Web usage mining, including evolving user profiles and external data describing an ontology of the Web content. Hence, we present an approach for discovering and tracking evolving user profiles. Hence, we present an approach for discovering and tracking evolving user profiles. Profiles are also enriched with other domain- specific information facets that give a panoramic view of the discovered mass usage modes. Profiles are also enriched with other domain- specific information facets that give a panoramic view of the discovered mass usage modes.

Existing System There was no system presenting a fully integrated approach to mine a real Web site with the challenging characteristics of today’s Web sites, such as evolving profiles, dynamic content, and the availability of taxonomy or databases in addition to Web logs There was no system presenting a fully integrated approach to mine a real Web site with the challenging characteristics of today’s Web sites, such as evolving profiles, dynamic content, and the availability of taxonomy or databases in addition to Web logs

Proposed System Here we present a complete framework for mining Web usage patterns with real-world challenges such as evolving access patterns, dynamic pages, and external data describing an ontology of the Web content and how it relates to the business actors Here we present a complete framework for mining Web usage patterns with real-world challenges such as evolving access patterns, dynamic pages, and external data describing an ontology of the Web content and how it relates to the business actors The Web site in this study is a portal that provides access to news, events, resources, company information and a library. The Web site in this study is a portal that provides access to news, events, resources, company information and a library. The Web site in our study is managed by a nonprofit organization that does not sell anything but only provides free information. The Web site in our study is managed by a nonprofit organization that does not sell anything but only provides free information.

Proposed System Here we perform clustering of the user sessions extracted from the Web logs to partition the users into several homogeneous groups with similar activities and then extract user profiles from each cluster as a set of relevant URLs. Here we perform clustering of the user sessions extracted from the Web logs to partition the users into several homogeneous groups with similar activities and then extract user profiles from each cluster as a set of relevant URLs. Data mining techniques have been applied to extract usage patterns from Web log data, this process is known as Web usage mining. Data mining techniques have been applied to extract usage patterns from Web log data, this process is known as Web usage mining.

Modules The following are the modules: The following are the modules: 1. Registration and Click Streams 1. Registration and Click Streams 2. Editing the Details 2. Editing the Details 3. Profile Status 3. Profile Status 4. Chart Generation 4. Chart Generation

Registration and Click Streams The user can login into the site by registering his details on this site. The registered user can view the information provided in this site. This Web site is managed by a nonprofit organization that does not sell anything but only provides free information about the sports, entertainment, tourism, stocks and shares. The user can login into the site by registering his details on this site. The registered user can view the information provided in this site. This Web site is managed by a nonprofit organization that does not sell anything but only provides free information about the sports, entertainment, tourism, stocks and shares.

Editing the details There are two types of users here, one is registered user and the other is admin. After entered into the site, the user can edit his profile like changing his existing password. The admin can view the user’s details. There are two types of users here, one is registered user and the other is admin. After entered into the site, the user can edit his profile like changing his existing password. The admin can view the user’s details.

Profile Status There are four profiles in this site namely sports, entertainment, tourism, stocks and shares. The admin can find the status of each profile by analyzing the log files of last three months. There are four profiles in this site namely sports, entertainment, tourism, stocks and shares. The admin can find the status of each profile by analyzing the log files of last three months.

Chart Generation Chart will be generated showing the status of each profile. This chart also deals with the frequent visiting users. Chart will be generated showing the status of each profile. This chart also deals with the frequent visiting users.

Hardware Requirements Processor:Pentium IV Processor:Pentium IV Hard Disk:40 GB Hard Disk:40 GB Ram:1 GB Ram:1 GB

Software Requirements Operating System:Windows XP Operating System:Windows XP Professional Professional Front End:Microsoft Visual Front End:Microsoft Visual Studio.Net 2008 Studio.Net 2008 Language:Visual C#.NET Language:Visual C#.NET Back End:SQL Server 2005 Back End:SQL Server 2005

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