Integration of fuzzy logic in data mining to handle vagueness and uncertainty

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dc.contributor.guideRaju, Gen_US
dc.coverage.spatialComputer scienceen_US
dc.creator.researcherThomas, Binuen_US
dc.date.accessioned2014-11-20T11:20:42Z
dc.date.available2014-11-20T11:20:42Z
dc.date.awarded29/09/2014en_US
dc.date.completed07/10/2013en_US
dc.date.issued2014-11-20
dc.date.registered01/01/2008en_US
dc.description.abstractnewlineen_US
dc.description.noteBibliography p. 167-178en_US
dc.format.accompanyingmaterialNoneen_US
dc.format.dimensionsen_US
dc.format.extent178p.en_US
dc.identifier.urihttp://hdl.handle.net/10603/28503
dc.languageEnglishen_US
dc.publisher.institutionSchool of Computer Sciencesen_US
dc.publisher.placeKottayamen_US
dc.publisher.universityMahatma Gandhi Universityen_US
dc.relationen_US
dc.rightsuniversityen_US
dc.source.universityUniversityen_US
dc.subject.keywordData miningen_US
dc.subject.keywordFuzzy clusteringen_US
dc.subject.keywordFuzzy logicen_US
dc.subject.keywordUncertaintyen_US
dc.subject.keywordVaguenessen_US
dc.titleIntegration of fuzzy logic in data mining to handle vagueness and uncertaintyen_US
dc.title.alternativeen_US
dc.type.degreePh.D.en_US

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