Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/316747
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DC FieldValueLanguage
dc.coverage.spatialComputer science
dc.date.accessioned2021-02-26T12:25:40Z-
dc.date.available2021-02-26T12:25:40Z-
dc.identifier.urihttp://hdl.handle.net/10603/316747-
dc.description.abstractfile attached
dc.format.extent152 p.
dc.languageEnglish
dc.relationno. of references 125
dc.rightsuniversity
dc.titleMulti attribute inter dependency relational clustering of diabetic data with influence measure based disease prediction
dc.title.alternative-
dc.creator.researcherBaiju B V
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordDiabetic
dc.subject.keywordDisease Prediction
dc.subject.keywordEngineering and Technology
dc.subject.keywordInfluence measure
dc.subject.keywordInter Dependency Measure
dc.description.notereferences p.135-152
dc.contributor.guideAravindhar, D John
dc.publisher.placeChennai
dc.publisher.universityHindustan University
dc.publisher.institutionDepartment of Electrical and Electronics Engineering
dc.date.registered
dc.date.completed2020
dc.date.awarded
dc.format.dimensions-
dc.format.accompanyingmaterialNone
dc.type.degreePh.D.
dc.source.inflibnetINFLIBNET
Appears in Departments:Department of Electrical and Electronics Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File153.61 kBAdobe PDFView/Open
02_certificate.pdf412.64 kBAdobe PDFView/Open
03_declaration.pdf412.53 kBAdobe PDFView/Open
04_acknowledgement.pdf319.32 kBAdobe PDFView/Open
05_abstract.pdf201.76 kBAdobe PDFView/Open
06_content.pdf228.64 kBAdobe PDFView/Open
07_chapter 1.pdf441.43 kBAdobe PDFView/Open
08_chapter 2.pdf471.96 kBAdobe PDFView/Open
09_chapter 3.pdf1.03 MBAdobe PDFView/Open
10_chapter 4.pdf865 kBAdobe PDFView/Open
11_references.pdf385.9 kBAdobe PDFView/Open
12_annexure.pdf1.82 MBAdobe PDFView/Open
80_recommendation.pdf370.28 kBAdobe PDFView/Open


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