Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/570737
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-06-11T12:26:23Z-
dc.date.available2024-06-11T12:26:23Z-
dc.identifier.urihttp://hdl.handle.net/10603/570737-
dc.description.abstractnewline
dc.format.extent1-142
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDetecting Deviant Objects In Various Information Systems Using Soft Computing Methods
dc.title.alternative
dc.creator.researcherSangeetha T
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideGeetha Mary A
dc.publisher.placeVellore
dc.publisher.universityVellore Institute of Technology, Vellore
dc.publisher.institutionSchool of Computing Science and Engineering
dc.date.registered2016
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:School of Computing Science and Engineering

Files in This Item:
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01_title.pdfAttached File95.19 kBAdobe PDFView/Open
02_preliminary pages.pdf2 MBAdobe PDFView/Open
03_content.pdf239.17 kBAdobe PDFView/Open
04_abstract.pdf71.92 kBAdobe PDFView/Open
05_chapter 1.pdf1.46 MBAdobe PDFView/Open
06_chapter 2.pdf1.07 MBAdobe PDFView/Open
07_chapter 3.pdf2.6 MBAdobe PDFView/Open
08_chapter 4.pdf1.62 MBAdobe PDFView/Open
09_chapter 5.pdf1.8 MBAdobe PDFView/Open
10_chapter 6.pdf1.46 MBAdobe PDFView/Open
11_chapter 7.pdf222.7 kBAdobe PDFView/Open
12_annexures.pdf1.24 MBAdobe PDFView/Open
80_recommendation.pdf315.94 kBAdobe PDFView/Open


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