WEB MINING: A COMPARATIVE STUDY
Aishwarya Deep Rastogi, Smita Gupta, Srishti Agarwal, Nimisha Agarwal · 2012
Currently, World-Wide Web has developed to a distributed information space with nearly 100 million workstations and several billion pages, which brings the people great trouble in finding needed information although huge amount of information available on webs. The search engine is a very important tool for people to obtain information on Internet, but the low-precision and lowrecall exist widely in current search engines. With the rapid development of Internet, the effective and accurate intelligent search engine based on the Web mining technology has become the most important research issue. 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 we 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 we 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. Furthermore, we also described web mining through cloud computing i.e. cloud mining. That can be seen as future of Web Mining.