Web Mining: A Comparative Study
Web Data Mining is an important area of Data Mining which deals with the extraction of interesting knowledge from the World Wide Web. It can be classified into three different types. Web content mining, web structure mining and web usages mining. Through this paper, the authors presents a view about how to extract the useful and relevant information on the web using web mining and also give the superficial knowledge and brief comparison about data mining. This paper discusses the current, past and future of web mining. Here, they introduce online resources for retrieval Information on the web i.e. web content mining, and the discovery of user access patterns from web servers, i.e. web usage mining that improve the data mining drawback.