<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In this paper, the generation and carrier models of criminal psychological traces are synthesized and applied to detect criminal cases by constructing a criminal psychological trace model. Secondly, the psychological state of the interrogated person is identified using the first and second layers of the principal component analysis network, and the psychological characteristics of the interrogated person are extracted based on the grey time series improved principal component analysis (GPCA) method. Finally, the psychological state of the interrogated person was analyzed by the psychological test of the criminal psychological trace model. The results showed that the AUC of the CIT psychological test effect on criminal experience was 0.638, while the CIT psychological test effect using the criminal psychological trace model was 0.875. This indicates that the research method in this paper can better understand the criminal psychological traces in the police investigation and their effects on the interrogated person and improve the effectiveness and accuracy of the police investigation.</p>
</abstract>

In this paper, the generation and carrier models of criminal psychological traces are synthesized and applied to detect criminal cases by constructing a criminal psychological trace model. Secondly, the psychological state of the interrogated person is identified using the first and second layers of the principal component analysis network, and the psychological characteristics of the interrogated person are extracted based on the grey time series improved principal component analysis (GPCA) method. Finally, the psychological state of the interrogated person was analyzed by the psychological test of the criminal psychological trace model. The results showed that the AUC of the CIT psychological test effect on criminal experience was 0.638, while the CIT psychological test effect using the criminal psychological trace model was 0.875. This indicates that the research method in this paper can better understand the criminal psychological traces in the police investigation and their effects on the interrogated person and improve the effectiveness and accuracy of the police investigation.

Analysis of factors influencing police investigation work based on principal component analysis

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

In this paper, the generation and carrier models of criminal psychological traces are synthesized and applied to detect criminal cases by constructing a...

Analysis of factors influencing police investigation work based on principal component analysis

Publié en ligne: 30 oct. 2023

Pages: -

Reçu: 14 déc. 2022

Accepté: 10 mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.00859

Mots clés
Criminal psychology, Trace model, Principal component analysis, Gray time series, Police investigation

© 2023 Hao Huang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Analysis of factors influencing police investigation work based on principal component analysis

Publié en ligne: 30 oct. 2023

Pages: -

Reçu: 14 déc. 2022

Accepté: 10 mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.00859

Mots clésCriminal psychology, Trace model, Principal component analysis, Gray time series, Police investigation

© 2023 Hao Huang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
Criminal psychology, Trace model, Principal component analysis, Gray time series, Police investigation