Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/204085
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dc.coverage.spatial
dc.date.accessioned2018-05-25T07:00:21Z-
dc.date.available2018-05-25T07:00:21Z-
dc.identifier.urihttp://hdl.handle.net/10603/204085-
dc.description.abstract, , , , newlineANFIS, Hybrid prediction Model, Data Imputation. newline
dc.format.extentXII, 1-108
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleAn Integrated Framework For The Imputation Of Missing Data Using WLI Fuzzy Clustering And Grey Neural Networks In Medical Informatics
dc.title.alternative
dc.creator.researcherVijayakumar .K
dc.subject.keywordGrey Wolf Optimizer
dc.subject.keywordMissing data
dc.subject.keywordNeural Network
dc.subject.keywordWLI fuzzy clustering
dc.description.note
dc.contributor.guideSasikala .R
dc.publisher.placeVellore
dc.publisher.universityVIT University
dc.publisher.institutionSchool of Computing Science and Engineering
dc.date.registered15/07/2009
dc.date.completed2018
dc.date.awarded19/02/2018
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:School of Computing Science and Engineering

Files in This Item:
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01_title .pdfAttached File109.61 kBAdobe PDFView/Open
02_certificate.pdf280.63 kBAdobe PDFView/Open
04_acknowledgement.pdf230.16 kBAdobe PDFView/Open
05_table of content.pdf47.14 kBAdobe PDFView/Open
06_table of figures.pdf43.64 kBAdobe PDFView/Open
07_list of tables.pdf42.64 kBAdobe PDFView/Open
08_list of terms.pdf44.09 kBAdobe PDFView/Open
09_chapter 1.pdf139.68 kBAdobe PDFView/Open
10_chapter 2.pdf93.81 kBAdobe PDFView/Open
11_chapter 3.pdf671.5 kBAdobe PDFView/Open
12_chapter 4.pdf972.88 kBAdobe PDFView/Open
13_chapter 5.pdf670.38 kBAdobe PDFView/Open
14_chapter 6.pdf46.41 kBAdobe PDFView/Open
15_reference and list of publications .pdf80.08 kBAdobe PDFView/Open


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