Urbanization process and fraud crime rate: take J Province as an example

Yadi Wang; Yu Liu; Xiao Ruan; Shancheng Lin; Ning Ding

doi:10.1117/12.2634718

4 May 2022 Urbanization process and fraud crime rate: take J Province as an example

Yadi Wang, Yu Liu, Xiao Ruan, Shancheng Lin, Ning Ding

Proceedings Volume 12172, International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021); 121720B (2022) https://doi.org/10.1117/12.2634718
Event: International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021), 2021, Nanchang, China

Abstract

In recent years, the fraud crime rate in China is rising, which has seriously endangered the personal and property safety of citizens. Crime is the result of the comprehensive action of society, economy, politics and culture. Based on the data of urbanization and fraud rate in J Province from 2005 to 2019, through Pearson correlation analysis, it is found that urbanization has a significant impact on fraud crime rate. The artificial neural network algorithm is used to predict the crime rate of fraud, with the accuracy rate 93.7%.

Citation Download Citation

Yadi Wang, Yu Liu, Xiao Ruan, Shancheng Lin, and Ning Ding "Urbanization process and fraud crime rate: take J Province as an example", Proc. SPIE 12172, International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021), 121720B (4 May 2022); https://doi.org/10.1117/12.2634718

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