A Hybrid Random Forest based Support Vector Machine Classification Supplemented by Boosting

A Hybrid Random Forest based Support Vector Machine Classification Supplemented by Boosting

Tarun Rao PhD

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T.V.Rajinikanth

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1 Dayananda Sagar College of Engineering

GJCST Volume 14 Issue C1

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A Hybrid Random Forest based Support Vector Machine Classification Supplemented by Boosting Banner

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No external funding was declared for this work.

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The authors declare no conflict of interest.

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Tarun Rao. 2014. \u201cA Hybrid Random Forest based Support Vector Machine Classification Supplemented by Boosting\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 14 (GJCST Volume 14 Issue C1): .

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GJCST Volume 14 Issue C1
Pg. 43- 54

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

boosting Classification Data mining random forest remote sensed data support vector machine

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Submission ReceivedDecember 7, 2013
RevisedDecember 7, 2013
Peer Review Double Blind
Handling Editor
Accepted January 5, 2014
Published January 15, 2014

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Issue date

May 14, 2014

Language

English

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Total Score: 102

Country: Unknown

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Tarun Rao, T.V.Rajinikanth (PhD/Dr. count: 0)

View Count (all-time): 268

Total Views (Real + Logic): 8794

Total Downloads (simulated): 2427

Publish Date: 2014 05, Wed

Monthly Totals (Real + Logic):

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Total Views: 8794

Total Downloads: 2427

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