Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/420696
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2022-11-28T09:16:34Z-
dc.date.available2022-11-28T09:16:34Z-
dc.identifier.urihttp://hdl.handle.net/10603/420696-
dc.description.abstractnewline
dc.format.extentxv, 121p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleA novel data mining algorithms for diseases classification
dc.title.alternative
dc.creator.researcherAmbikavathi V
dc.subject.keywordMathematics
dc.subject.keywordPhysical Sciences
dc.subject.keywordStatistics and Probability
dc.description.note
dc.contributor.guideArumugam P
dc.publisher.placeTirunelveli
dc.publisher.universityManonmaniam Sundaranar University
dc.publisher.institutionDepartment of Statistics
dc.date.registered
dc.date.completed2021
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Statistics

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File109.02 kBAdobe PDFView/Open
02_prelim pages.pdf399.43 kBAdobe PDFView/Open
03_chapter 1.pdf770.52 kBAdobe PDFView/Open
04_chapter 2.pdf290.29 kBAdobe PDFView/Open
05_chapter 3.pdf1.64 MBAdobe PDFView/Open
06_chapter 4.pdf864.25 kBAdobe PDFView/Open
07_chapter 5.pdf846.55 kBAdobe PDFView/Open
08_chapter 6.pdf205.51 kBAdobe PDFView/Open
09_chapter 7.pdf82.69 kBAdobe PDFView/Open
80_recommendation.pdf183.48 kBAdobe PDFView/Open


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