Advance approach for data classification using distributed association rules

In the internet era web sites on the internet are useful source of information for almost every activity. So there is a rapid development of World Wide Web in its volume of traffic and the size and complexity of web sites. Web mining is the application of data mining, artificial intelligence, chart technology and so on to the web data and traces user's visiting behaviors and extracts their interests using patterns [Mahendra and Shefalika, 2012]. Because of its direct application in e-commerce, Web analytics, e-learning, information retrieval, web mining has become one of the important areas in computer and information science. There are several techniques like web usage mining exists. But all processes its own disadvantages. Pattern mining is a heavily researched area in the field of data mining frequent with wide range of applications. One of them is to use frequent pattern discovery methods in Web log data. Discovering information from Web log data is called Web usage mining. The aim of discovering frequent patterns is to obtain information about the navigational behavior of the user in Web log data.