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Research Article

Near Investigation of Characterization Calculations for Web Spam Recognition

PRIYA VARADHARAJAN1 SELVA KUMAR MANI2
12Dept. of Computer Science Engineering, Annamalaiar College of Engineering, Tamilnadu, India.

Published Online: January-April 2023

Pages: 17-19

Cite this article

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References

[1] Víctor M. Prieto
∗, Manuel Álvarez, Fidel Cacheda, “SAAD,
acontentbasedWebSpamAnalyzerandDetector”,TheJournalofSystemsandsoftwareELSEVIER,SCIENCEDIRECT,2013
[2] ApichatTaweesiriwate, BinditManaskasemask,"WebSpamDetection using Link based Ant Colony Optimization",
26thIEEEInternationalConferenceonAdvancedInformation NetworkingandApplications,2012.
[3] JaberKarimpour, Ali A Noroozi,"The Impact of FeatureSelection on Web Spam Detection”, I.J. Intelligent
Systems andApplications,2012,pp.61-67.
[4] Amudha.J, Soman.K.P,c"Feature Selection in Top-Down
Visual AttentionModelusingWEKA",InternationalJournalofComputerApplications,Volume24–No.4,June2011.
[5] YutakI.Leon-
Suemastsu,kentaroInui,"Webspam DetectionbyexploringDenselyconnectedSubgraphs", IEEE/WIC/ACMInternationalConferencesonWeb Intel
ligenceandIntelligentAgentTechnology,2011.
[6] MiklosErdely,AndrasGarzo,“WebSpamClassification: Few Features worth More”, LAWA (Large-ScaleLongitudinalWebAnalytics)andby
the grant OTKANK72845,2011

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