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
Title: Enhancing Credit Card Fraud Detection System s Performance Using Hybrid Optimization and Deep Recurrent Neural Networks
Researcher: Chandra Sekhar. Kolli
Guide(s): Uma Devi .T
Keywords: 
Computer Science
Computer Science Software Engineering
Engineering and Technology
University: GITAM University
Completed Date: 2021
Abstract: File Attached newline
Pagination: 
URI: http://hdl.handle.net/10603/348276
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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