Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/312323
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2021-01-19T11:43:17Z-
dc.date.available2021-01-19T11:43:17Z-
dc.identifier.urihttp://hdl.handle.net/10603/312323-
dc.description.abstractnewline
dc.format.extent1-127
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleEfficient Hybrid Feature Selection Techniques for Heart Disease Classification
dc.title.alternative
dc.creator.researcherVijayashree J
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordHeart disease Classsification
dc.subject.keywordNeural Network.
dc.description.note
dc.contributor.guideParveen Sulthana H
dc.publisher.placeVellore
dc.publisher.universityVIT University
dc.publisher.institutionSchool of Computing Science and Engineering
dc.date.registered2013
dc.date.completed2020
dc.date.awarded2020
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 File51.56 kBAdobe PDFView/Open
02_declaration and certificate.pdf32.39 kBAdobe PDFView/Open
03_abstract.pdf24.9 kBAdobe PDFView/Open
04_acknowledgment.pdf27.98 kBAdobe PDFView/Open
05_table of contents.pdf26.19 kBAdobe PDFView/Open
06_list of figures.pdf21.39 kBAdobe PDFView/Open
07_list of tables.pdf20.48 kBAdobe PDFView/Open
08_list of terms and abbreviations.pdf22.25 kBAdobe PDFView/Open
09_chapter 1.pdf139.2 kBAdobe PDFView/Open
10_chapter 2.pdf44.24 kBAdobe PDFView/Open
11_chapter 3.pdf276.86 kBAdobe PDFView/Open
12_chapter 4.pdf172.2 kBAdobe PDFView/Open
13_chapter 5.pdf193.68 kBAdobe PDFView/Open
14_chapter 6.pdf245.7 kBAdobe PDFView/Open
15_chapter 7.pdf22.55 kBAdobe PDFView/Open
16_references.pdf55.53 kBAdobe PDFView/Open
17_list of publications.pdf25.74 kBAdobe PDFView/Open
80_recommendation.pdf313.29 kBAdobe PDFView/Open


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