1. Shodhganga@INFLIBNET
  2. GITAM University
  3. Department of Computer Science
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/348276
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2021-11-18T10:29:14Z-
dc.date.available2021-11-18T10:29:14Z-
dc.identifier.urihttp://hdl.handle.net/10603/348276-
dc.description.abstractFile Attached newline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleEnhancing Credit Card Fraud Detection System s Performance Using Hybrid Optimization and Deep Recurrent Neural Networks
dc.title.alternative
dc.creator.researcherChandra Sekhar. Kolli
dc.subject.keyword
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Software Engineering
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideUma Devi .T
dc.publisher.placeVisakhapatnam
dc.publisher.universityGITAM University
dc.publisher.institutionDepartment of Computer Science
dc.date.registered
dc.date.completed2021
dc.date.awarded
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File151.09 kBAdobe PDFView/Open
02_declaration.pdf93.17 kBAdobe PDFView/Open
03_certificate.pdf126.82 kBAdobe PDFView/Open
04_acknowledgement page.pdf88.57 kBAdobe PDFView/Open
05_table of contents.pdf25.14 kBAdobe PDFView/Open
06_table of figures.pdf197.72 kBAdobe PDFView/Open
07_list of tables.pdf83.57 kBAdobe PDFView/Open
08_abbreviations.pdf180.23 kBAdobe PDFView/Open
09_abstract.pdf100.08 kBAdobe PDFView/Open
10_chapter 1_introduction.pdf246.6 kBAdobe PDFView/Open
11_chapter 2_literature review.pdf207.78 kBAdobe PDFView/Open
12_chapter 3_preprocessing using box cox transformation_feature selection using cig_model creation using grey wolf opimization.pdf1.79 MBAdobe PDFView/Open
13_chapter 4_feature selection using wrapper modlel_model creationusing_water optimization.pdf1.3 MBAdobe PDFView/Open
14_chapter 5_preprocessing using yeojohnson_model creation using_spider moneky optimization.pdf1.43 MBAdobe PDFView/Open
15_chapter 6_comparative study.pdf644.37 kBAdobe PDFView/Open
16_chapter 7_conclusion_future scope.pdf102.46 kBAdobe PDFView/Open
17_references.pdf177.83 kBAdobe PDFView/Open
18_list of publications.pdf118.18 kBAdobe PDFView/Open
80_recommendation.pdf246.6 kBAdobe PDFView/Open
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