Construction and application of credit card fraud crime prediction model based on SVM algorithm

Peng Yu; Xinyan Liu

doi:10.1117/12.2675241

25 May 2023 Construction and application of credit card fraud crime prediction model based on SVM algorithm

Peng Yu, Xinyan Liu

Author Affiliations +

Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 1263616 (2023) https://doi.org/10.1117/12.2675241
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China

Abstract

In recent years, with the rapid development of the Internet, telecommunications and financial industry, credit card fraud as a non-traditional crime cases surge. People's dependence on credit card payments and mobile payments has been further deepened, which also provides a fertile soil for credit card fraud. This paper uses SVM Algorithm to build a credit card fraud prediction model, and verifies the prediction performance through data experiments, and finds that it has a high accuracy for identifying credit card fraud. If the model is applied to real life, it can avoid the loss caused by credit card fraud in time, which has a broad development prospect.

Citation Download Citation

Peng Yu and Xinyan Liu "Construction and application of credit card fraud crime prediction model based on SVM algorithm", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 1263616 (25 May 2023); https://doi.org/10.1117/12.2675241

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