Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/41865
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dc.coverage.spatialComputer scienceen_US
dc.date.accessioned2015-05-19T04:07:10Z-
dc.date.available2015-05-19T04:07:10Z-
dc.date.issued2015-05-19-
dc.identifier.urihttp://hdl.handle.net/10603/41865-
dc.description.abstractAbstract available newlineen_US
dc.format.extentxii, 121p.en_US
dc.languageEnglishen_US
dc.relationNo. of references 65en_US
dc.rightsuniversityen_US
dc.titleAnalysis and design of data mining techniques for prevention and detection of financial fraudsen_US
dc.title.alternative-en_US
dc.creator.researcherGupta, Rajanen_US
dc.subject.keywordData Mining, Research Work, Real Estate Assessmenten_US
dc.description.noteBibliography p.113-121, No Appendixen_US
dc.contributor.guideGill, Nasib Singhen_US
dc.publisher.placeRohtaken_US
dc.publisher.universityMaharshi Dayanand Universityen_US
dc.publisher.institutionDepartment of Computer Scienceen_US
dc.date.registeredn.d.en_US
dc.date.completed2013en_US
dc.date.awardedn.d.en_US
dc.format.dimensions-en_US
dc.format.accompanyingmaterialNoneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Department of Computer Science

Files in This Item:
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01_title.pdfAttached File36.42 kBAdobe PDFView/Open
02_acknowledgement.pdf69.18 kBAdobe PDFView/Open
03_declaration.pdf26.1 kBAdobe PDFView/Open
04_abstract.pdf147.97 kBAdobe PDFView/Open
05_list of abbreviations.pdf38.51 kBAdobe PDFView/Open
06_list of tables.pdf29.38 kBAdobe PDFView/Open
07_list of figures.pdf24.17 kBAdobe PDFView/Open
08_list of publications.pdf94.22 kBAdobe PDFView/Open
09_contents.pdf139.62 kBAdobe PDFView/Open
10_chapter 1.pdf516.64 kBAdobe PDFView/Open
11_chapter 2.pdf1.81 MBAdobe PDFView/Open
12_chapter 3.pdf647.02 kBAdobe PDFView/Open
13_chapter 4.pdf471.31 kBAdobe PDFView/Open
14_chapter 5.pdf559.76 kBAdobe PDFView/Open
15_chapter 6.pdf345 kBAdobe PDFView/Open
16_chapter 7.pdf1.52 MBAdobe PDFView/Open
17_chapter 8.pdf235.39 kBAdobe PDFView/Open
18_references.pdf416.88 kBAdobe PDFView/Open


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