Comparative Analysis of Machine Learning Algorithms for Credit Card Fraud Detection

Authors

  • Jerin Ignatious Dept. of Computer Science & Engineering, Jawaharlal Nehru Engineering College, Aurangabad, India
  • Yogita Kulkarni Dept. of Computer Science & Engineering, Jawaharlal Nehru Engineering College, Aurangabad, India
  • Shruti Bari Dept. of Computer Science & Engineering, Jawaharlal Nehru Engineering College, Aurangabad, India
  • Deepali Naglot Dept. of Computer Science & Engineering, Jawaharlal Nehru Engineering College, Aurangabad, India

DOI:

https://doi.org/10.26438/ijcse/v8i6.69

Keywords:

Credit Card, Fraud, Machine Learning, Isolation Forest, Local Outlier Factor

Abstract

In this age of growing digitization, many of our day to day activities are being transformed with the help of the internet and everything is now available online. With the advent of the internet, nowadays online transactions have become an important and necessary part of our lives. As the number of transactions are increasing, the number of fraudulent transactions are also increasing rapidly. To reduce fraudulent transactions, machine learning algorithms like Local Outlier Factor and Isolation Forest are discussed in this paper. An online dataset is used to implement and test these algorithms. Finally with comparative analysis we tried to conclude which algorithm works better.

References

[1] Vaishnavi Nath Dornadula, Geetha S, ?Credit Card Fraud Detection Using Machine Learning Algorithms?, International Conference on Recent Trends in Advanced Computing 2019

[2] Samaneh Sorournejad, Zahra Zojaji, Reza Ebrahimi Atani, Amir Hassan Monadjemi, ?A Survey of Credit Card Fraud Detection Techniques: Data and Technique Oriented Perspective?

[3] Ramyashree K, Janaki K, Keerthana S, B. V. Harshita, Harshita Y. V, ?A Hybrid for Credit Card Fraud Detection Using Machine Learning Algorithm?, International Journal of Recent Technology And Engineering, Volume-7, Issue-6S4, April 2019

[4] Heta Naik, Prashasti Kanikar, ?Credit Card Fraud Detection Based on MAchine Learning Algorithms?, International Journal of Computer Applications, Volume 182 - No. 44, March 2019

[5] Suresh K. Shirgave, Chetan J. Awati, Rashmi More, Sonam S. Patil, ?A Review on Credit Card Fraud Detection Using Machine Learning?, International Journal of Scientific and Technology Research, Volume 8, Issue 10, October 2019

[6] S. P. Maniraj, Aditya Saini, Swarna Deep Sarkar, Shadab Ahmed, ?Credit Card Fraud Detection Using Machine Learning and Data Science?, International Journal of Engineering Research and Technology, Volume 8, Issue 9, September 2019

[7] Laxmi S. V. S.S, Selvani Deepthi Kavila, ?Machine Learning for Credit Card Fraud Detection System?, International Journal of Applied Engineering Research, Volume 13, Number 24(2018)

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Published

2020-06-30
CITATION
DOI: 10.26438/ijcse/v8i6.69
Published: 2020-06-30

How to Cite

[1]
J. Ignatious, Y. Kulkarni, S. Bari, and D. Naglot, “Comparative Analysis of Machine Learning Algorithms for Credit Card Fraud Detection”, Int. J. Comp. Sci. Eng., vol. 8, no. 6, pp. 6–9, Jun. 2020.

Issue

Vol. 8 No. 6 (2020): IJCSE June Edition

Section

Research Article

License

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