A Survey on Web Usage Mining

Dr J. Vellingiri; S. Chenthur Pandian

A Survey on Web Usage Mining

Dr J. Vellingiri * §

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S. Chenthur Pandian

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§ Kongunadu College of Engineering and Technology

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CST48263

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Abstract

Now a day World Wide Web become very popular and interactive for transferring of information. The web is huge, diverse and active and thus increases the scalability, multimedia data and temporal matters. The growth of the web has outcome in a huge amount of information that is now freely offered for user access. The several kinds of data have to be handled and organized in a manner that they can be accessed by several users effectively and efficiently. So the usage of data mining methods and knowledge discovery on the web is now on the spotlight of a boosting number of researchers. Web usage mining is a kind of data mining method that can be useful in recommending the web usage patterns with the help of users’ session and behavior. Web usage mining includes three process, namely, preprocessing, pattern discovery and pattern analysis. There are different techniques already exists for web usage mining. Those existing techniques have their own advantages and disadvantages. This paper presents a survey on some of the existing web usage mining techniques.

References

22 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr J. Vellingiri, S. Chenthur Pandian. 2012. "A Survey on Web Usage Mining". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 4).

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GJCST Volume 11 Issue 4

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST Classification H.3.5

H.2.8

Submission ReceivedJanuary 9, 2011
Peer Review Double Blind
Handling Editor
Accepted February 4, 2011
Published February 17, 2011

Version of record

v1.2

Issue date

March 13, 2011

Language

English

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Article Matrices

Total Score: 142

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Dr J. Vellingiri ,S. Chenthur Pandian (PhD/Dr. count: 0)

View Count (all-time): 264

Total Views (Real + Logic): 8048

Total Downloads (simulated): 576

Publish Date: 2011 02, Thu

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Total Views: 8K

Total Downloads: 576

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