CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING

May 2023
Vol-9, Issue-3
Paper ID: 20333
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
INFORMATION TECHNOLOGY ENGINEERING
Keywords
Machine Learning Transactions Regression Metrics Precision
Abstract
Credit card fraud is a major problem that affects the financial industry worldwide. Machine learning has become an effective tool for detecting fraudulent transactions in credit card transactions. This paper presents an overview of credit card fraud detection using machine learning techniques. The proposed approach involves collecting transaction data, preprocessing the data, engineering new features, selecting an appropriate machine learning algorithm, training and testing the model, and finally deploying the model for real-time fraud detection. We highlight the importance of data preprocessing and feature engineering in improving the performance of the model. Several machine learning algorithms are discussed, including logistic regression, decision trees, and neural networks. The performance of the model is evaluated using various metrics, such as precision, recall, and F1 score. The proposed approach provides a powerful tool for detecting credit card fraud in real-time, thus reducing financial losses for businesses and consumers alike

Author Information

# Name Institute / Affiliation
1 MADHURI SHIVAJI MEHER DHOLE PATIL COLLEGE OF ENGINEERING
2 Kalidas Wable DHOLE PATIL COLLEGE OF ENGINEERING
3 Priyanka Dirange DHOLE PATIL COLLEGE OF ENGINEERING
4 Indrajiet Kehmnar DHOLE PATIL COLLEGE OF ENGINEERING

How to Cite

Use the following formats to cite this article in your research.

APA Style
MEHER, MADHURI SHIVAJI, Wable, Kalidas, Dirange, Priyanka, & Kehmnar, Indrajiet (2023). CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING. International Journal of Advance Research and Innovative Ideas In Education, 9(3), 2286-2290.
MLA Style
MEHER, MADHURI SHIVAJI, et al. "CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, 2023, pp. 2286-2290.
IEEE Style
MADHURI SHIVAJI MEHER, Kalidas Wable, Priyanka Dirange, and Indrajiet Kehmnar, "CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, pp. 2286-2290, 2023.
Vancouver Style
MEHER MADHURI SHIVAJI, Wable Kalidas, Dirange Priyanka, Kehmnar Indrajiet. CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(3):2286-2290.
Harvard Style
MEHER, MADHURI SHIVAJI, Wable, Kalidas, Dirange, Priyanka, & Kehmnar, Indrajiet (2023) 'CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING', International Journal of Advance Research and Innovative Ideas In Education, 9(3), pp. 2286-2290.
Chicago Style
MEHER, MADHURI SHIVAJI, et al. "CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 2286-2290.
Turabian Style
MEHER, MADHURI SHIVAJI, et al. "CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 2286-2290.

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