Survey On A Hybrid Approach For Web Usage Mining
Samira Nigrel, Asmita Patil, Pratiksha Bharmal, Jagruti Kadam, Jagruti Babaria · 2015
web or web mining has become an important research area. Basically data mining techniques are used in web mining. Web mining is extended version of data mining. Data mining is work upon Off Line whereas Web mining is work upon On-Line. In data mining data is stored in (database) data warehouse and in web mining data is stored in server database & web log. The expansion of the World Wide Web (Web for short) has resulted in a large amount of data that is now in general freely available for user access. The different types of data have to be managed and organized in such a way that they can be accessed by different users efficiently. Therefore, the application of data mining techniques on the Web is now the focus of an increasing number of researchers. Several data mining methods are used to discover the hidden information in the Web. However, Web mining does not only mean applying data mining techniques to the data stored in the Web. The algorithms have to be modified such that they better suit the demands of the Web. Web mining can be divided into three areas, namely web content mining, web structure mining and web usage mining (also called web log mining).Web content mining focuses on discovery of information stored on the Internet, i.e., the various search engines. Web content mining is the process of extracting useful information from the contents of web documents. Content data is the collection of facts a web page is designed to contain. It may consist of text, images, audio, video, or structured records such as lists and tables.