DETAILED STUDY OF WEB MINING APPROACHES-A SURVEY

This paper is a work on survey on the existing techniques of web mining and the issues which are related to it. The WWW i.e. World Wide Web acts as an interactive and trendy way to transfer information. The enormous and diverse information is available on the web, although the end users cannot make use of the information very effectively and easily. Data mining concentrates on non trivial extraction of implicit previously unknown and potential useful information from the very large quantity of data. Web mining is one of the applications of data mining which has become an important area of research due to vast amount of World Wide Web services in recent years. The aim of this paper is to provide the past and current techniques in Web Mining. This paper also reports the summary of various techniques of web mining approached from the following angles like Feature Extraction, Transformation and Representation and Data Mining Techniques in various application domains. In this paper, we will discuss the research work done by different users depicting the pros and cons are discussed. We will also discuss the overview of growth in research of web mining and some important research issues related to it.