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2014•CiiT international journal of data mining and knowledge engineeringRequires access

A Study of Tools & Techniques of Web Usage Mining

Jyoti Haweliya, Manish Sharma, Bhawana Nigam

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Abstract

In the today scenario huge amount of information is available on web i.e. WWW (World Wide Web). It is the most powerful source of information. So, web is the fertile area of Data Mining research. Web mining is the extension of Data Mining. Main focus of Web Usage mining is on techniques that can predict user behavior when the user interacts with the internet. It seeks to make feel of the data generated by the Web surfer’s sessions or behaviors. This article gives the taxonomy of web mining (i.e. Web content mining, Web structure mining, and Web Usage mining). Cloud mining can be seen as a future of Web Mining. This paper also concerned with the study of various tools and techniques for Web Usage Mining.

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What this paper is about

In the today scenario huge amount of information is available on web i.e. WWW (World Wide Web). It is the most powerful source of information. So, web is the fertile area of Data Mining research. Web mining is the extension of Data Mining. Main focus of Web Usage mining is on techniques that can predict user behavior when the user interacts with the internet. It seeks to make feel of the data generated by the Web surfer’s sessions or behaviors. This article gives the taxonomy of web mining (i.e. Web content mining, Web structure mining, and Web Usage mining). Cloud mining can be seen as a future of Web Mining. This paper also concerned with the study of various tools and techniques for Web Usage Mining.

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Available abstract

In the today scenario huge amount of information is available on web i.e. WWW (World Wide Web). It is the most powerful source of information. So, web is the fertile area of Data Mining research. Web mining is the extension of Data Mining. Main focus of Web Usage mining is on techniques that can predict user behavior when the user interacts with the internet. It seeks to make feel of the data generated by the Web surfer’s sessions or behaviors. This article gives the taxonomy of web mining (i.e. Web content mining, Web structure mining, and Web Usage mining). Cloud mining can be seen as a future of Web Mining. This paper also concerned with the study of various tools and techniques for Web Usage Mining.

Key concepts: Web mining, Computer science, Web intelligence, World Wide Web, Web standards, Data Web, Web development, Web modeling

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