Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/255194
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DC FieldValueLanguage
dc.coverage.spatialComputer Science
dc.date.accessioned2019-08-26T08:50:01Z-
dc.date.available2019-08-26T08:50:01Z-
dc.identifier.urihttp://hdl.handle.net/10603/255194-
dc.description.abstractnewline
dc.format.extentxxiv,280
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titlePredicting breast cancer using data mining and soft computing techniques
dc.title.alternative
dc.creator.researcherSheba K.U
dc.subject.keywordBreast Cancer
dc.subject.keywordCAD System for breast cancer
dc.subject.keywordDigital Mammography
dc.description.noteBibliography p242-278
dc.contributor.guideGladston Raj S
dc.publisher.placeKottayam
dc.publisher.universityMahatma Gandhi University
dc.publisher.institutionSchool of Computer Sciences
dc.date.registered01/01/2013
dc.date.completed24/10/2018
dc.date.awarded30/04/2019
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:School of Computer Sciences

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10_abbreviations.pdfAttached File17.09 kBAdobe PDFView/Open
11_chapter1.pdf481.92 kBAdobe PDFView/Open
12_chapter2.pdf1.23 MBAdobe PDFView/Open
13_chapter3.pdf952.15 kBAdobe PDFView/Open
14_chapter4.pdf2.03 MBAdobe PDFView/Open
15_chapter5.pdf1.1 MBAdobe PDFView/Open
16_chapter6.pdf1.74 MBAdobe PDFView/Open
17_summary_conclusion.pdf278.06 kBAdobe PDFView/Open
18_bibliography.pdf369.95 kBAdobe PDFView/Open
19_list_of_publications.pdf312.78 kBAdobe PDFView/Open
1_title.pdf140.09 kBAdobe PDFView/Open
2_plagiarism certificate.pdf422.97 kBAdobe PDFView/Open
3_declaration.pdf99.3 kBAdobe PDFView/Open
4_certificate.pdf452.44 kBAdobe PDFView/Open
5_abstract.pdf58.84 kBAdobe PDFView/Open
6_acknowledgement.pdf57.18 kBAdobe PDFView/Open
7_contents.pdf57.69 kBAdobe PDFView/Open
8_list_of_tables.pdf45.43 kBAdobe PDFView/Open
9_list_of_figures.pdf54.03 kBAdobe PDFView/Open


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