Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/491707
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dc.coverage.spatial
dc.date.accessioned2023-06-15T09:56:53Z-
dc.date.available2023-06-15T09:56:53Z-
dc.identifier.urihttp://hdl.handle.net/10603/491707-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleMetaheuristic approach on feature selection and prediction for resource scheduling in big stream data
dc.title.alternative
dc.creator.researcherN Arunadevi
dc.subject.keywordfeature selection and prediction
dc.subject.keywordMetaheuristic approach
dc.subject.keywordresource scheduling in big stream data
dc.description.note4747
dc.contributor.guideVidyaathulasiraman
dc.publisher.placeSalem
dc.publisher.universityPeriyar University
dc.publisher.institutionDepartment of Computer Science
dc.date.registered2016
dc.date.completed2022
dc.date.awarded2023
dc.format.dimensions92mm
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

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10_annexure.pdfAttached File233.65 kBAdobe PDFView/Open
1_title.pdf162.04 kBAdobe PDFView/Open
2_preliminary pages.pdf1.25 MBAdobe PDFView/Open
3_content.pdf251.06 kBAdobe PDFView/Open
4_abstract.pdf611.92 kBAdobe PDFView/Open
5_chapter 1.pdf238.06 kBAdobe PDFView/Open
6_chapter 2.pdf229.38 kBAdobe PDFView/Open
7_chapter 3.pdf578.55 kBAdobe PDFView/Open
80_recommendation.pdf228.69 kBAdobe PDFView/Open
8_chapter 4.pdf785.34 kBAdobe PDFView/Open
9_chapter 5 to 7.pdf1.33 MBAdobe PDFView/Open


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