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Research Article
Credit Card Fraud Detection Using Random Forest Algorithm
Rajeswari.M1
Srinithi.K.M2
1Assistant Professor, Department of Computer Science and Engineering IFET College of Engineering, Villupuram, TN, India. 2UG Scholar, Department of Computer Science and Engineering IFET College of Engineering, Villupuram, TN, India.
Published Online: July-August 2022
Pages: 127-133
Cite this article
No DOIReferences
[1] Adi Saputra, "Suharjito2L: Fraud Detection using Machine Learning in e-Commerce (IJACSA)", International Journal of Advanced
Computer Science and Applications, vol. 10, no. 9, 2019.
[2] Heta Naik and Prashasti Kanikar, "Credit card Fraud Detection based on Machine Learning Algorithms", International Journal of
Computer Applications (0975 - 8887), vol. 182, no. 44, March 2019.
[3] Andrea Dal Pozzolo, Giacomo Boracchi, Olivier Caelen, Cesare Alippi andGianluca Bontempi, "Credit Card Fraud Detection: A
Realistic Modeling and a Novel Learning Strategy", IEEE on Neural Networks and Learning Systems, 2018.
[4] V Sahayasakila, D. Kavya Monisha, Aishwarya and Sikhakolli VenkatavisalakshiseshsaiYasaswi, "Credit Card Fraud Detection System
using Smote Technique and Whale Optimization Algorithm", International Journal of Engineering and Advanced Technology (IJEAT), vol.
8, no. 5, June 2019.
[5] John, Hyder, and Sameena Naaz. “Credit Card Fraud Detection using Local Outlier Factor and Isolation Forest.”, International Journal
of Computer Sciences and Engineering. Vol. 7, no. 4, pp. 1060-1064,Apr (2019).
[6] Varre Perantalu K., Bhargav Kiran, “Credit card Fraud Detection using Predictive Modeling “(2014) Volume 3, Issue 9 IJIRT, ISSN:2349-6002.
[7] Hafiz K.T., Aghili S., Zavarsky P., “The use of predictive analytics technology to detect credit card fraud in Canada”, 11th Iberian
Conference on Information Systems and Technologies (CISTI) (2016).
[8] Bahnsen A.C., Stojanovic A., Aouada D., Ottersten B., “Cost sensitive credit card fraud detection using Bayes minimum risk”. 12th
International Conference on Machine Learning and Applications (ICMLA) (2013), 333-338.
[9] Sonepat H.C.E., Bansal M., Survey Paper on “Credit Card Fraud Detection”, International Journal of Advanced Research in Computer
Engineering & Technology 3(3) (2014).
[10] Adewumi AO, Akinyelu AA. “A survey of machine - learning and nature- inspired based credit card fraud detection techniques.”
International Journal of System Assurance Engineering and Management, vol 8,no 2,pp. 937-53, Nov.2017.
[11] Yashvi Jain, Namrata Tiwari and Shripriya Dubey, "Sarika Jain: A Comparative Analysis of Various Credit Card Fraud Detection
Techniques", International Journal of Recent Technology and Engineering (IJRTE), vol. 7, no. 5S2, January 2019.
[12] Wei Sun, Chen-Guang Yang, Jian-Xun Qi: Credit Risk Assessment in Commercial Banks Based On Support Vector Machines, vol.6, pp
2430-2433, 2006.
[13] Y. Sahin and E. Duman, “Detecting Credit Card Fraud by Decision Trees and Support Vector Machines, Proceedings of International
Multi Conference of Engineers scientists, vol. I, 2011.
[14] Snehal Patil, Harshada Somavanshi, Jyoti Gaikwad, Amruta Deshmane, Rinku Badgujar," Credit Card Fraud Detection Using Decision
Tree Induction Algorithm, International Journal of Computer Science and Mobile Computing, Vol.4 Issue.4, April- 2015, pg. 92-95.
[15] Raj S.B.E., Portia A.A., “Analysis on credit card fraud detection methods”, Computer, Communication and Electrical Technology
International Conference on (ICCET) (2011), 152-156
Computer Science and Applications, vol. 10, no. 9, 2019.
[2] Heta Naik and Prashasti Kanikar, "Credit card Fraud Detection based on Machine Learning Algorithms", International Journal of
Computer Applications (0975 - 8887), vol. 182, no. 44, March 2019.
[3] Andrea Dal Pozzolo, Giacomo Boracchi, Olivier Caelen, Cesare Alippi andGianluca Bontempi, "Credit Card Fraud Detection: A
Realistic Modeling and a Novel Learning Strategy", IEEE on Neural Networks and Learning Systems, 2018.
[4] V Sahayasakila, D. Kavya Monisha, Aishwarya and Sikhakolli VenkatavisalakshiseshsaiYasaswi, "Credit Card Fraud Detection System
using Smote Technique and Whale Optimization Algorithm", International Journal of Engineering and Advanced Technology (IJEAT), vol.
8, no. 5, June 2019.
[5] John, Hyder, and Sameena Naaz. “Credit Card Fraud Detection using Local Outlier Factor and Isolation Forest.”, International Journal
of Computer Sciences and Engineering. Vol. 7, no. 4, pp. 1060-1064,Apr (2019).
[6] Varre Perantalu K., Bhargav Kiran, “Credit card Fraud Detection using Predictive Modeling “(2014) Volume 3, Issue 9 IJIRT, ISSN:2349-6002.
[7] Hafiz K.T., Aghili S., Zavarsky P., “The use of predictive analytics technology to detect credit card fraud in Canada”, 11th Iberian
Conference on Information Systems and Technologies (CISTI) (2016).
[8] Bahnsen A.C., Stojanovic A., Aouada D., Ottersten B., “Cost sensitive credit card fraud detection using Bayes minimum risk”. 12th
International Conference on Machine Learning and Applications (ICMLA) (2013), 333-338.
[9] Sonepat H.C.E., Bansal M., Survey Paper on “Credit Card Fraud Detection”, International Journal of Advanced Research in Computer
Engineering & Technology 3(3) (2014).
[10] Adewumi AO, Akinyelu AA. “A survey of machine - learning and nature- inspired based credit card fraud detection techniques.”
International Journal of System Assurance Engineering and Management, vol 8,no 2,pp. 937-53, Nov.2017.
[11] Yashvi Jain, Namrata Tiwari and Shripriya Dubey, "Sarika Jain: A Comparative Analysis of Various Credit Card Fraud Detection
Techniques", International Journal of Recent Technology and Engineering (IJRTE), vol. 7, no. 5S2, January 2019.
[12] Wei Sun, Chen-Guang Yang, Jian-Xun Qi: Credit Risk Assessment in Commercial Banks Based On Support Vector Machines, vol.6, pp
2430-2433, 2006.
[13] Y. Sahin and E. Duman, “Detecting Credit Card Fraud by Decision Trees and Support Vector Machines, Proceedings of International
Multi Conference of Engineers scientists, vol. I, 2011.
[14] Snehal Patil, Harshada Somavanshi, Jyoti Gaikwad, Amruta Deshmane, Rinku Badgujar," Credit Card Fraud Detection Using Decision
Tree Induction Algorithm, International Journal of Computer Science and Mobile Computing, Vol.4 Issue.4, April- 2015, pg. 92-95.
[15] Raj S.B.E., Portia A.A., “Analysis on credit card fraud detection methods”, Computer, Communication and Electrical Technology
International Conference on (ICCET) (2011), 152-156
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