Study on the early warning method of economic crime based on data mining

Bowei Zhang

doi:10.1117/12.2670304

1 June 2023 Study on the early warning method of economic crime based on data mining

Bowei Zhang

Proceedings Volume 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022); 126251L (2023) https://doi.org/10.1117/12.2670304
Event: International Conference on Mathematics, Modeling and Computer Science (MMCS2022),, 2022, Wuhan, China

Abstract

In the steady development of social economy, China's Ministry of Public Security in the investigation of cases found that the proportion of economic crime cases is increasing, and the overall trend gradually increased. Since there are many factors affecting people involved in economic crimes, the analysis and study of such cases are decision-making, and it is difficult to give early warning of actual crimes. Therefore, advanced science and technology should be reasonably used to build a system model, so as to not only master more economic crime warning methods, but also fully demonstrate the application advantages of artificial intelligence. Based on the early warning model of economic crime and the research results of relevant early warning models and methods by domestic and foreign scholars in recent years, this paper deeply discusses how to build an early warning method of economic crime with data mining algorithm as the core. The final results show that this kind of model can not only improve the efficiency of case processing, but also show its application value.

Citation Download Citation

Bowei Zhang "Study on the early warning method of economic crime based on data mining", Proc. SPIE 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022), 126251L (1 June 2023); https://doi.org/10.1117/12.2670304

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