Web usage Mining: Web user Session Construction using Map-Reduce

Web usage Mining: Web user Session Construction using Map-Reduce

Neha Sharma

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Neha Sharma & Pawan Makhija

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α Department of Computer Science

Web usage Mining: Web user Session Construction using Map-Reduce

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References

6 Cites in Article

Reference Format

Neha Sharma,Pawan Makhija (2015). Web Usage Mining:A novel approach for web user session construction.
Jeffrey Dean,Sanjay Ghemawat (2004). MapReduce.
N Nirali,Madhak,M Trupti,Kodinariya,N Jayesh,Rathod (2012). Web Usage Mining: A Review on Process.
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.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Neha Sharma. 2017. \u201cWeb usage Mining: Web user Session Construction using Map-Reduce\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 17 (GJCST Volume 17 Issue E4): .

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GJCST Volume 17 Issue E4
Pg. 49- 51

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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

E.3

Submission ReceivedDecember 6, 2016
Peer Review Double Blind
Handling Editor
Accepted December 31, 2016
Published January 15, 2017

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v1.2

Issue date

September 27, 2017

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Article Matrices

Total Score: 101

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): 277

Total Views (Real + Logic): 6738

Total Downloads (simulated): 1692

Publish Date: 2017 09, Wed

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Total Views: 6738

Total Downloads: 1692

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