Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/385498
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dc.coverage.spatial
dc.date.accessioned2022-06-10T05:45:45Z-
dc.date.available2022-06-10T05:45:45Z-
dc.identifier.urihttp://hdl.handle.net/10603/385498-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleA Framework for Identification and Mitigation of Fraudulent Online Transactions Using Deep Learning
dc.title.alternative
dc.creator.researcherKhattri,Vipin
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Cybernetics
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideNayak,Sandeep Kumar and Singh,Deepak Kumar
dc.publisher.placeLucknow
dc.publisher.universityIntegral University
dc.publisher.institutionDepartment of Computer Application
dc.date.registered2017
dc.date.completed2021
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Application

Files in This Item:
File Description SizeFormat 
01_title page.pdfAttached File58.19 kBAdobe PDFView/Open
02_declaration.pdf27 kBAdobe PDFView/Open
03_certificates.pdf102.21 kBAdobe PDFView/Open
04_acknowledgement.pdf34.59 kBAdobe PDFView/Open
05_content.pdf134.2 kBAdobe PDFView/Open
06_list of tables, figures and abbreviations.pdf81.36 kBAdobe PDFView/Open
07_chapter 1.pdf333.41 kBAdobe PDFView/Open
08_chapter 2.pdf318.14 kBAdobe PDFView/Open
09_chapter 3.pdf509.53 kBAdobe PDFView/Open
10_chapter 4.pdf588.35 kBAdobe PDFView/Open
11_chapter 5.pdf601.79 kBAdobe PDFView/Open
12_chapter 6.pdf696.36 kBAdobe PDFView/Open
13_chapter 7.pdf390.12 kBAdobe PDFView/Open
14_chapter 8.pdf142.42 kBAdobe PDFView/Open
15_bibliography.pdf175.93 kBAdobe PDFView/Open
80_recommendation.pdf152.79 kBAdobe PDFView/Open


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