Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/427061
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2022-12-17T17:31:33Z-
dc.date.available2022-12-17T17:31:33Z-
dc.identifier.urihttp://hdl.handle.net/10603/427061-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleHybrid information theoretic measures and Their applications in data mining
dc.title.alternative
dc.creator.researcherSonia
dc.subject.keyworddata mining
dc.subject.keywordHybrid information
dc.subject.keywordmeasures and Their
dc.description.note
dc.contributor.guidePriti Gupta, Partiksha Tiwari
dc.publisher.placeRohtak
dc.publisher.universityMaharshi Dayanand University
dc.publisher.institutionDepartment of Statistics
dc.date.registered2020
dc.date.completed2022
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 page.pdfAttached File34.36 kBAdobe PDFView/Open
02_declaration.pdf64.99 kBAdobe PDFView/Open
03_certificate.pdf65.89 kBAdobe PDFView/Open
04_ acknowledgement.pdf32.6 kBAdobe PDFView/Open
05_ content.pdf119.93 kBAdobe PDFView/Open
06_ list of table and figure.pdf146.67 kBAdobe PDFView/Open
08_ chapter 1.pdf592.15 kBAdobe PDFView/Open
09_ chapter 2.pdf531.62 kBAdobe PDFView/Open
10_ chapter 3.pdf586.38 kBAdobe PDFView/Open
11_ chapter 4.pdf476.46 kBAdobe PDFView/Open
12_ chapter 5.pdf536.58 kBAdobe PDFView/Open
13_ chapter 6.pdf505.76 kBAdobe PDFView/Open
14_ chapter 7.pdf650.56 kBAdobe PDFView/Open
15_ references.pdf255.57 kBAdobe PDFView/Open
16_ appendix.pdf4.41 MBAdobe PDFView/Open
80_recommendation.pdf2.94 MBAdobe PDFView/Open


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