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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: September 2023
Volume 8 | Issue 9
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 8
Issue Published : 88
Article Submitted : 8769
Article Published : 4490
Total Authors : 11663
Total Reviewer : 551
Total Countries : 86
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| Paper Title: | Credit Card Fraud Detection Using CNN |
| Authors Name: | M.Madhavi , K R Venkat Reddy , Burra Swetha , R Badri Kumar |
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IJRTI_186102
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| Published Paper Id: | IJRTI2304141 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | |
| Abstract: | This paper talks about a strategy within the fraud detection interface region. The approach proposed is to utilize imbalanced profoundly skewed value-based information and a convolutional organize for the discovery of fakes. The dataset utilized here is the machine learning kaggle dataset for credit card extortion discovery that contains profoundly skewed information. The assessed highlights are 1 for fraud and for non-fraud class. The examination of extortion discovery was an vital device in keeping money divisions. These days, the counterfeit neural organize has ended up the slightest effective strategy for credit card extortion discovery. The framework right now utilized to distinguish extortion is tormented by misclassifications and exceedingly wrong positives. In such situations here this term paper employments the in participation of convolutional neural arrange layers in an endeavor to construct a show for identifying credit card extortion that gives us a tall level of exactness |
| Keywords: | Convolutional Neural Network Layers, Imbalanced dataset, SMOTE, Dropout, Credit Card |
| Cite Article: | "Credit Card Fraud Detection Using CNN", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 4, page no.845 - 854, April-2023, Available :http://www.ijrti.org/papers/IJRTI2304141.pdf |
| Downloads: | 000177 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2304141
Registration ID:186102
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 845 - 854 Country: Hyderabad, Telangana, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2304141 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2304141 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
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