1. Shodhganga@INFLIBNET
  2. Periyar University
  3. Department of Computer Science
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/394913
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2022-07-22T09:00:35Z-
dc.date.available2022-07-22T09:00:35Z-
dc.identifier.urihttp://hdl.handle.net/10603/394913-
dc.description.abstractnewline
dc.format.extent109p
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleEarly detection of ovarian cancer using classification techniques
dc.title.alternative
dc.creator.researcherS Kavitha
dc.subject.keywordClassification
dc.subject.keywordOvarian
dc.subject.keywordTechniques
dc.description.note
dc.contributor.guideVidyaathulasiraman
dc.publisher.placeSalem
dc.publisher.universityPeriyar University
dc.publisher.institutionDepartment of Computer Science
dc.date.registered2017
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions92mm
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File217.92 kBAdobe PDFView/Open
02_certificate page.pdf205.87 kBAdobe PDFView/Open
03_priliminary page.pdf506 kBAdobe PDFView/Open
04_chapter 1.pdf436.58 kBAdobe PDFView/Open
05_chapter 2.pdf289.86 kBAdobe PDFView/Open
06_chapter 3.pdf743.83 kBAdobe PDFView/Open
07_chapter 4.pdf1.04 MBAdobe PDFView/Open
08_chapter 5.pdf1.19 MBAdobe PDFView/Open
09_chapter 6.pdf101.16 kBAdobe PDFView/Open
10_bibliography.pdf277.21 kBAdobe PDFView/Open
11_appendices.pdf219.5 kBAdobe PDFView/Open
80_recommendation.pdf317.94 kBAdobe PDFView/Open
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