Using Advanced Machine Learning Techniques for Anomaly Detection in Financial Transactions

Authors

  • Sachkirat Singh Pardesi Sachkirat2007@gmail.com

DOI:

https://doi.org/10.36676/dira.v12.i3.106

Keywords:

Machine Learning, Anomaly Detection, Financial Transactions

Abstract

Financial transaction anomaly detection has become a critical component of financial security, especially in light of the growing complexity of fraudulent activity and the increasing digitalization of financial transactions. The application of cutting-edge machine learning techniques has great potential in this regard, since they may leverage algorithmic accuracy and processing capacity to detect abnormalities that can point to fraudulent activity. The purpose of this introduction is to explore the basics, evolution, significance, research gaps, and the need for this study.

References

i) Dhanawat, V., 2022. Anomaly Detection in Financial Transactions using Machine Learning and Blockchain Technology. International Journal of Business Management and Visuals, ISSN: 3006-2705, 5(1), pp.34-41.

ii) Henry de Frahan, M.T., Wimer, N.T., Yellapantula, S. and Grout, R.W., 2022. Deep reinforcement learning for dynamic control of fuel injection timing in multi-pulse compression ignition engines. International Journal of Engine Research, 23(9), pp.1503-1521.

iii) Jafarigol, E. and Trafalis, T.B., 2024. A distributed approach to meteorological predictions: addressing data imbalance in precipitation prediction models through federated learning and GANs. Computational Management Science, 21(1), p.22.

iv) Website: https://shap.readthedocs.io/en/latest/

v) Website: https://towardsdatascience.com/lime-explain-machine-learning-predictions-af8f18189bfe

vi) Zhang, M., 2019, April. Use density-based spatial clustering of applications with noise (DBSCAN) algorithm to identify galaxy cluster members. In IOP conference series: earth and environmental science (Vol. 252, No. 4, p. 042033). IOP Publishing.

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Published

2024-09-20
CITATION
DOI: 10.36676/dira.v12.i3.106
Published: 2024-09-20

How to Cite

Sachkirat Singh Pardesi. (2024). Using Advanced Machine Learning Techniques for Anomaly Detection in Financial Transactions. Darpan International Research Analysis, 12(3), 543–554. https://doi.org/10.36676/dira.v12.i3.106