Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/21271
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dc.coverage.spatialComputer Scienceen_US
dc.date.accessioned2014-07-24T04:16:46Z-
dc.date.available2014-07-24T04:16:46Z-
dc.date.issued2014-07-24-
dc.identifier.urihttp://hdl.handle.net/10603/21271-
dc.description.abstractNoneen_US
dc.format.extent138p.en_US
dc.languageEnglishen_US
dc.relation103en_US
dc.rightsuniversityen_US
dc.titlePrediction of hidden knowledge from clinical database using fuzzy techniquesen_US
dc.title.alternative-en_US
dc.creator.researcherSapna, Sen_US
dc.subject.keywordsapna, computer, prediction, hidden,clinical, database, fuzzy, techniquesen_US
dc.description.notereferences p. 128 - 138en_US
dc.contributor.guideTamilarasi, Aen_US
dc.publisher.placeKodaikanalen_US
dc.publisher.universityMother Teresa Womens Universityen_US
dc.publisher.institutionDepartment of Computer Scienceen_US
dc.date.registered08/03/2007en_US
dc.date.completed03/01/2013en_US
dc.date.awarded10/01/2013en_US
dc.format.dimensionsA4en_US
dc.format.accompanyingmaterialNoneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Department of Computer Science

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01_title.pdfAttached File13.11 kBAdobe PDFView/Open
02_certificate.pdf8.75 kBAdobe PDFView/Open
03_abstract.pdf12.6 kBAdobe PDFView/Open
04_declaration.pdf8.84 kBAdobe PDFView/Open
05_acknowledgement.pdf13.92 kBAdobe PDFView/Open
06_contents.pdf20.82 kBAdobe PDFView/Open
07_list_of_tables.pdf8.75 kBAdobe PDFView/Open
08_list_of_figures.pdf52.74 kBAdobe PDFView/Open
09_abbreviations.pdf81.47 kBAdobe PDFView/Open
10_chapter 1.pdf55.31 kBAdobe PDFView/Open
11_chapter 2.pdf47.2 kBAdobe PDFView/Open
12_chapter 3.pdf84.67 kBAdobe PDFView/Open
13_chapter 4.pdf420.12 kBAdobe PDFView/Open
14_chapter 5.pdf147.28 kBAdobe PDFView/Open
15_chapter 6.pdf167.06 kBAdobe PDFView/Open
16_chapter 7.pdf1.27 MBAdobe PDFView/Open
17_chapter 9.pdf7.3 kBAdobe PDFView/Open
18_conclusion.pdf7.96 kBAdobe PDFView/Open
19_bibliography.pdf57.68 kBAdobe PDFView/Open


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