Web Mining: A Framework

Abstract

With the availability of huge amount of data  on the World Wide Web, it became a fertile place for data  mining research. The growth of web data will no doubt  continue to grow in coming years. So to analyses all  the data in a manner to produce or extract information  reflecting user behavior, interaction, demands, and to  optimize search results, the concept of web mining is  used. Web mining is basically a technique of data mining.  Web mining is come under the applications of the data  mining approaches to order discover analyze the patterns  extracted from the web. The main objective of web mining  is to develop intelligent tools to make easy for the user  to extract, filter, find and evaluate useful information.  Nowadays, data available on the web has become an  essential part of organization. Data is produced in huge  amount, as a result of interaction of several users and web.  The output can be extracted to generate knowledge so that  later it can be applied in various applications. Analysis of  web site content and patterns obtained by user navigation  is valuable for business and research community. The aim  of research in web mining is to develop and apply new  techniques to mine and extract valuable knowledge or  information from the web pages. Due to the diversity and  unstructured form of web data, discovering of targeted  or unexpected knowledge/information automatically is  the important and challenging task. So the focus of this  paper is to provide a more evaluative update of web  mining research and techniques available. This paper,  provide the reviews for concept of Web mining, the type  of Web mining and different techniques used in each type.  This paper discusses the current trends and challenges  in this research area.