Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/204764
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dc.coverage.spatial
dc.date.accessioned2018-05-31T06:45:19Z-
dc.date.available2018-05-31T06:45:19Z-
dc.identifier.urihttp://hdl.handle.net/10603/204764-
dc.description.abstractExtensive research is going on among the research community around the newlineworld to improve the performance of classifiers for CTG data and thereby to improve the newlineprediction capability.
dc.format.extentxiii,91
dc.languageEnglish
dc.relation111
dc.rightsuniversity
dc.titleImproved Classification Of Cardiotocogram Data For Fetal Risk Anticipation Using Evolutionary Attribute Reduction Techniques
dc.title.alternative
dc.creator.researcherSubha V
dc.description.note
dc.contributor.guideMurugan D
dc.publisher.placeTirunelveli
dc.publisher.universityManonmaniam Sundaranar University
dc.publisher.institutionDepartment of Computer Science and Engg.
dc.date.registerednd
dc.date.completed2016
dc.date.awardednd
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science & Engg.

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01_titlepage.pdfAttached File113.94 kBAdobe PDFView/Open
02_certificate.pdf77.76 kBAdobe PDFView/Open
03_declaration.pdf74.54 kBAdobe PDFView/Open
04_acknowledgement.pdf63.58 kBAdobe PDFView/Open
05_contents.pdf77.09 kBAdobe PDFView/Open
06_abstract.pdf54.09 kBAdobe PDFView/Open
07_list of table & figures.pdf82.69 kBAdobe PDFView/Open
08_abbreviations.pdf60.77 kBAdobe PDFView/Open
09_chapter1.pdf172.79 kBAdobe PDFView/Open
10_chapter2.pdf211.38 kBAdobe PDFView/Open
11_chapter3.pdf1.42 MBAdobe PDFView/Open
12_chapter4.pdf354.22 kBAdobe PDFView/Open
13_chapter5.pdf439.07 kBAdobe PDFView/Open
14_chapter6.pdf264.51 kBAdobe PDFView/Open
15_chapter7.pdf77.14 kBAdobe PDFView/Open
16_reference.pdf185.56 kBAdobe PDFView/Open
17_list of publications.pdf94.14 kBAdobe PDFView/Open
18_abstract.pdf2.34 MBAdobe PDFView/Open


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