1. Shodhganga@INFLIBNET
  2. Rajiv Gandhi University
  3. Department of Computer Science & Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/408320
Title: Text mining approach for fraud detection in financial statements based on optimized deep learning
Researcher: Yadav, Ajit Kumar Singh
Guide(s): Sora, Marpe
Keywords: Automation and Control Systems
Computer Science
Engineering and Technology
University: Rajiv Gandhi University
Completed Date: 2021
Abstract: newline
Pagination: 
URI: http://hdl.handle.net/10603/408320
Appears in Departments:Department of Computer Science & Engineering

Files in This Item:
File Description SizeFormat 
01_title_page.pdfAttached File81.08 kBAdobe PDFView/Open
02_certificate.pdf277.49 kBAdobe PDFView/Open
03_declarations.pdf108.44 kBAdobe PDFView/Open
04_urkund report.pdf684.06 kBAdobe PDFView/Open
05_acknowledgements.pdf105.79 kBAdobe PDFView/Open
06_list of abbreviations.pdf112.57 kBAdobe PDFView/Open
07_list of figures.pdf107.92 kBAdobe PDFView/Open
08_list of tables.pdf110.28 kBAdobe PDFView/Open
09_contents.pdf274.09 kBAdobe PDFView/Open
10_chapter1.pdf259.89 kBAdobe PDFView/Open
11_chapter2.pdf283.07 kBAdobe PDFView/Open
12_chapter3.pdf974.65 kBAdobe PDFView/Open
13_chapter4.pdf1.05 MBAdobe PDFView/Open
14_chapter5.pdf952.06 kBAdobe PDFView/Open
15_chapter6.pdf1.85 MBAdobe PDFView/Open
16_chapter7.pdf264.85 kBAdobe PDFView/Open
17_references.pdf367.48 kBAdobe PDFView/Open
18_publications.pdf259.98 kBAdobe PDFView/Open
80_recommendation.pdf445.56 kBAdobe PDFView/Open
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