Hybrid classifiers for rule discovery the study of variation of results on different datasets

dc.contributor.guideSita Mahalakshmi,T
dc.coverage.spatialComputer science and engineering
dc.creator.researcherKalagotla, Satish Kumar
dc.date.accessioned2017-08-28T09:22:16Z
dc.date.available2017-08-28T09:22:16Z
dc.date.awardedn.d.
dc.date.completed2016
dc.date.registeredn.d.
dc.description.abstractNone
dc.description.noteReference given
dc.format.accompanyingmaterialNone
dc.format.dimensions-
dc.format.extentn.d.
dc.identifier.urihttp://hdl.handle.net/10603/170398
dc.languageEnglish
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.publisher.placeVisakhapatnam
dc.publisher.universityGITAM University
dc.relation-
dc.rightsuniversity
dc.source.inflibnetINFLIBNET
dc.subject.keywordDatasets
dc.subject.keywordDiscovery
dc.subject.keywordHybrid classifiers
dc.titleHybrid classifiers for rule discovery the study of variation of results on different datasets
dc.title.alternative-
dc.type.degreePh.D.

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