Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/151839
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dc.coverage.spatialSchool of Computing Science and Engineering
dc.date.accessioned2017-05-26T11:47:53Z-
dc.date.available2017-05-26T11:47:53Z-
dc.identifier.urihttp://hdl.handle.net/10603/151839-
dc.description.abstractAbstract available
dc.format.extent104 p.
dc.languageEnglish
dc.relation-
dc.rightsuniversity
dc.titleExposition of novel approaches for filtering spam emails using machine learning techniques
dc.title.alternative-
dc.creator.researcherRoy, Sanjiban Sekhar
dc.subject.keywordApproaches
dc.subject.keywordExposition
dc.subject.keywordMachine
dc.subject.keywordTechnique
dc.description.noteReference p. 91-98, Appendix p. 99-104
dc.contributor.guideVishwantham, Madhu V
dc.publisher.placeVellore
dc.publisher.universityVIT University
dc.publisher.institutionSchool of Computing Science and Engineering
dc.date.registeredn.d.
dc.date.completed2016
dc.date.awardedn.d.
dc.format.dimensions-
dc.format.accompanyingmaterialNone
dc.type.degreePh.D.
dc.source.inflibnetINFLIBNET
Appears in Departments:School of Computing Science and Engineering

Files in This Item:
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01_title.pdfAttached File44.37 kBAdobe PDFView/Open
02_declaration.pdf105.62 kBAdobe PDFView/Open
03_certificate.pdf113.64 kBAdobe PDFView/Open
04_abstract.pdf132.63 kBAdobe PDFView/Open
05_acknowlegdement.pdf129.93 kBAdobe PDFView/Open
06_contents.pdf237.71 kBAdobe PDFView/Open
07_list of tables figures.pdf342.2 kBAdobe PDFView/Open
08_chapter 1.pdf270.45 kBAdobe PDFView/Open
09_chapter 2.pdf605.05 kBAdobe PDFView/Open
10_chapter 3.pdf41.24 kBAdobe PDFView/Open
11_chapter 4.pdf614.55 kBAdobe PDFView/Open
12_chapter 5.pdf668.64 kBAdobe PDFView/Open
13_chapter 6.pdf806.75 kBAdobe PDFView/Open
14_chapter 7.pdf445.77 kBAdobe PDFView/Open
15_chapter 8.pdf154.96 kBAdobe PDFView/Open
16_references.pdf525.72 kBAdobe PDFView/Open
17_appendix.pdf46.71 kBAdobe PDFView/Open


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