Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/355540
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dc.coverage.spatial
dc.date.accessioned2022-01-13T05:11:50Z-
dc.date.available2022-01-13T05:11:50Z-
dc.identifier.urihttp://hdl.handle.net/10603/355540-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleIntrusion detection system using artificial neural network and support vector machine A comparative study
dc.title.alternative
dc.creator.researcherMishra, Aishwarya
dc.subject.keywordMathematics
dc.subject.keywordMathematics Applied
dc.subject.keywordPhysical Sciences
dc.description.note
dc.contributor.guideHussain, Jamal
dc.publisher.placeMizoram
dc.publisher.universityMizoram University
dc.publisher.institutionDepartment of Mathematics and Computer Science
dc.date.registered2015
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Mathematics and Computer Science

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80_recommendation.pdfAttached File172.42 kBAdobe PDFView/Open
appendices 7.pdf168.01 kBAdobe PDFView/Open
bibliography 8.pdf269.44 kBAdobe PDFView/Open
biodata 9.pdf36.08 kBAdobe PDFView/Open
certificate_2.pdf68.66 kBAdobe PDFView/Open
chapter 1.pdf463.87 kBAdobe PDFView/Open
chapter 2.pdf885.9 kBAdobe PDFView/Open
chapter 3.pdf203.79 kBAdobe PDFView/Open
chapter 4.pdf955.93 kBAdobe PDFView/Open
chapter 5.pdf546.5 kBAdobe PDFView/Open
chapter 6.pdf153.11 kBAdobe PDFView/Open
preliminary pages.pdf431.74 kBAdobe PDFView/Open
title page_1.pdf25.5 kBAdobe PDFView/Open


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