Machine Learning based Data Mining for Detection of Credit Card Frauds-Reference-Cited by-同舟云学术

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Machine Learning based Data Mining for Detection of Credit Card Frauds

Published:2023-04-26 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Inventive Computation Technologies (ICICT)
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Author:

Rama Krishna S.¹,Agarwal Varsha²,Rao Dhananjai E³,Kakde Vinodkumar Uttamrao⁴,Kumari Sharda⁵,Shankar Vadar Parashuram⁶

Affiliation:

1. GSoT, GITAM(Deemed-to-be-University),Department of Computer Science & Engineering,Hyderabad,502329

2. ATLAS SKillTech University,Department of Management

3. ISBR Business School,Department of Business Analytics,Bangalore

4. University of Technology and Applied Sciences,Department of Information Technology,Sultanate of Oman

5. L.N Mishra College of Business Management,Muzaffarpur,Bihar

6. Yashwantrao Chavan School of Rural Development, Shivaji University,Kolhapur,Maharashtra,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10133935/10133936/10134015.pdf?arnumber=10134015

Reference15 articles.

1. Dataset Shift Quantification for Credit Card Fraud Detection

2. Credit Card Fraud Detection Based on Machine and Deep Learning

3. The Effect of Recursive Feature Elimination with Cross-Validation (RFECV) Feature Selection Algorithm toward Classifier Performance on Credit Card Fraud Detection

4. Incremental learning strategies for credit cards fraud detection

5. Performance Evaluation of Machine Learning Methods for Credit Card Fraud Detection Using SMOTE and AdaBoost

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