Web Usage Mining:A Novel Approach for Web User Session Construction

Web Usage Mining:A Novel Approach for Web User Session Construction

Neha Sharma

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Pawan Makhija

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α Department of Computer Science

Web Usage Mining:A Novel Approach for Web User Session Construction

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Abstract

The growth of World Wide Web is incredible as it can be seen in present days. Web usage mining plays an important role in the personalization of Web services, adaptation of Web sites, and the improvement of Web server performance. It applies data mining techniques to discover Web access patterns from Web log data. In order to discover access patterns, Web log data should be reconstructed into sessions. This paper provides a novel approach for session identification.

References

12 Cites in Article

Reference Format

R Chintan,Varnagar,N Nirali,Madhak,M Trupti,Kodinariya,N Jayesh,Rathod (2013). Web Usage Mining: A Review on Process.
Robert,Bamshed Cooley,Jaideep Mobasher,Srinivastava (1997). Web mining: Information and Pattern Discovery on the World Wide Web.
He Xinhua,Wang Qiong (2011). Dynamic Timeout-Based A Session Identification Algorithm.
J Zhang,Ali Ghorbani (2004). The Reconstruction of user session from a server log using improved time oriented heuristic.
Fang Yuankang,Huang Zhiqui (2010). A session identification algorithm based on frame page and page threshold.
R Dell (2008). Web user session reconstruction using integer programming.
Jozef Kapusta,Michal Munk,Martin Drlik (2012). Cut-off time calculation for user session identification by reference length.
Zhixiang Chen,Richard Fowler,Ada Wai,-Chee Fu Linear Time Algorithms for Finding Maximal Forward References.
G Arumugam,S Sugana (2009). Optimum algorithm for generation of user session sequences using server side web user logs.
Antony Dr,V Selvadoss Thanamani,Chitraa (2011). A Novel Technique for Sessions Identification in Web Usage Mining Preprocessing.
Peng Zhu,Ming-Sheng Zhao (2010). Session Identification Algorithm for Web Log Mining.
Nirmala Huidrom,Neha Bagoria (2013). Clustering Techniques for the Identification of Web User Session.

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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

Neha Sharma. 2015. \u201cWeb Usage Mining:A Novel Approach for Web User Session Construction\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 15 (GJCST Volume 15 Issue E3): .

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GJCST Volume 15 Issue E3
Pg. 15- 17

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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-E Classification: H.3.5

Submission ReceivedFebruary 11, 2015
Peer Review Double Blind
Handling Editor
Accepted February 28, 2015
Published March 15, 2015

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v1.2

Issue date

June 22, 2015

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Article Matrices

Total Score: 102

Country: India

Subject: Global Journal of Computer Science and Technology - E: Network, Web & Security

Authors: Neha Sharma, Pawan Makhija (PhD/Dr. count: 0)

View Count (all-time): 249

Total Views (Real + Logic): 7918

Total Downloads (simulated): 2180

Publish Date: 2015 06, Mon

Monthly Totals (Real + Logic):

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Total Views: 7918

Total Downloads: 2180

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