Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/214619
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dc.coverage.spatialComputer Science and Engineering
dc.date.accessioned2018-09-11T09:48:06Z-
dc.date.available2018-09-11T09:48:06Z-
dc.identifier.urihttp://hdl.handle.net/10603/214619-
dc.description.abstractNone
dc.format.extent-
dc.languageEnglish
dc.relationno. of references 183
dc.rightsuniversity
dc.titleA probability approach to predict parkinsons disease by data mining techniques through parkdiag tool using voice data
dc.title.alternative-
dc.creator.researcherTarigoppula, Sriram V S
dc.subject.keywordData mining techniques
dc.subject.keywordParkdiag tool
dc.subject.keywordPhysical Sciences
dc.subject.keywordVoice data
dc.description.notebibliography given
dc.contributor.guideRao, Venkateswara M
dc.publisher.placeVisakhapatnam
dc.publisher.universityGITAM University
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registeredn.d.
dc.date.completed2017
dc.date.awardedn.d.
dc.format.dimensions-
dc.format.accompanyingmaterialNone
dc.type.degreePh.D.
dc.source.inflibnetINFLIBNET
Appears in Departments:Department of Computer Science and Engineering

Files in This Item:
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01_title.pdfAttached File23.03 kBAdobe PDFView/Open
02_certificate.pdf398.19 kBAdobe PDFView/Open
03_acknowledgements.pdf18.17 kBAdobe PDFView/Open
04_contents.pdf13.34 kBAdobe PDFView/Open
05_preface.pdf20.32 kBAdobe PDFView/Open
06_list of tables_figures.pdf31.01 kBAdobe PDFView/Open
07_chapter 1.pdf71.61 kBAdobe PDFView/Open
08_chapter 2.pdf229.3 kBAdobe PDFView/Open
09_chapter 3.pdf544.53 kBAdobe PDFView/Open
10_chapter 4.pdf483.66 kBAdobe PDFView/Open
11_chapter 5.pdf277.57 kBAdobe PDFView/Open
12_chapter 6.pdf7.01 MBAdobe PDFView/Open
13_chapter 7.pdf94.72 kBAdobe PDFView/Open
14_chapter 8.pdf209.91 kBAdobe PDFView/Open
15_references.pdf122.83 kBAdobe PDFView/Open
16_list of publications.pdf61.88 kBAdobe PDFView/Open


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