INTRODUCTION

WEB USAGE MINING

WEB USAGE MINING PROCESS

TECHNIQUES

APPLICATIONS

CURRENT ISSUES AND CHALLENGES

FUTURE TRENDS

CONCLUSION

Abstract

WWW is, by far, the enormous database in the world, holding humongous amount of data of various types that would be consumed by users for various needs. It contains priceless data for businesses, if mined effectively. Web mining is a process that targets to find useful information or knowledge from the Web page contents, hyperlink structure, and usage or sever logs of websites. Web data mining is divided into three major groups – Web Content mining, Web Structure mining and Web Usage mining. This survey paper reports the basic concepts of each type of web mining, techniques for data extraction or knowledge detection and uses of different types of web mining methods.

I. INTRODUCTION

World Wide Web (WWW), simply the Web, which is considered the world’s largest database, holding enormous amount of various types of data that would be consumed by us for various needs. Web data is unstructured raw information. It is a virtual gold mine for business and people, if it is mined properly. Web mining [1] is a process that targets to determine useful data from web page contents, hyperlinks organization, and server logs of websites. Web mining [2,3] processes are categorized into Web Content Mining(WCM), Web Structure Mining(WSM) and Web Usage Mining(WUM) established on the type of statistics used in the mining methods, which is given below in Fig.1. Web content mining is used to mine different web data like text, image, audio and video contents. Web structure mining is used to obtain the hyperlink organization of the web site which delivers improved search outcomes for the user. Web usage mining is a method of obtaining valuable knowledge from the webserver log files, log files of users and frequently accessed paths.