Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/232986
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DC FieldValueLanguage
dc.coverage.spatialInformation and Communication Engineering
dc.date.accessioned2019-03-19T12:42:51Z-
dc.date.available2019-03-19T12:42:51Z-
dc.identifier.urihttp://hdl.handle.net/10603/232986-
dc.description.abstractAbstract available
dc.format.extentxvii, 127p.
dc.languageOthers
dc.relation117-125
dc.rightsuniversity
dc.titleOpinion mining of health data for cardiovascular disease diagnosis using unsupervised feature selection algorithm
dc.title.alternative
dc.creator.researcherM, Senbagavalli
dc.subject.keywordAlgorithm
dc.subject.keywordCardiovascular
dc.subject.keywordDiagnosis
dc.subject.keywordHealthdata
dc.subject.keywordUnsupervised
dc.description.noteData not available
dc.contributor.guideArasu, G Tholkappia
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registeredn.d.
dc.date.completed2017
dc.date.awardedn.d.
dc.format.dimensions21cm.
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
File Description SizeFormat 
01_title page.pdfAttached File27.94 kBAdobe PDFView/Open
02_certificate.pdf723.77 kBAdobe PDFView/Open
03_abstract.pdf10.96 kBAdobe PDFView/Open
04_acknowledgement.pdf4.84 kBAdobe PDFView/Open
05_table of content.pdf15.11 kBAdobe PDFView/Open
06_list of table.pdf3.72 kBAdobe PDFView/Open
07_list of figures.pdf7.17 kBAdobe PDFView/Open
08_list of abbreviation.pdf7.21 kBAdobe PDFView/Open
09_chapter 1.pdf589.91 kBAdobe PDFView/Open
10_chapter 2.pdf199.23 kBAdobe PDFView/Open
11_chapter 3.pdf1.03 MBAdobe PDFView/Open
12_chapter 4.pdf469.65 kBAdobe PDFView/Open
13_chapter 5.pdf484.12 kBAdobe PDFView/Open
14_chapter 6.pdf92.49 kBAdobe PDFView/Open
15_appendix.pdf660.02 kBAdobe PDFView/Open
16_references.pdf136.84 kBAdobe PDFView/Open
17_list of publication.pdf30.74 kBAdobe PDFView/Open


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