Research on the prediction of suspect at the airport based on big data

Kunseng Lao

doi:10.1117/12.2615143

15 October 2021 Research on the prediction of suspect at the airport based on big data

Kunseng Lao

Proceedings Volume 11933, 2021 International Conference on Neural Networks, Information and Communication Engineering; 119330H (2021) https://doi.org/10.1117/12.2615143
Event: 2021 International Conference on Neural Networks, Information and Communication Engineering, 2021, Qingdao, China

Abstract

In account of the context of big data, it is a trend for the airport to build “intelligent security” mode, which is conducive to the control of airport security work. By applying the core technology of calculator, each feature of the suspect can be predicted with the mode. The most suspicious person will be predicted through the calculation of the similarities between the predicted features and the personal information of the passengers who will take the flight. Based on the XLMINER system, through the discriminant analysis, K-Nearest Neighbor (KNN) proximity algorithm, classification trees, Naive Bayesian algorithm analysis within the classification tools, the experimental results showed that KNN proximity algorithm has better predictive ability for predicting the suspects.

Citation Download Citation

Kunseng Lao "Research on the prediction of suspect at the airport based on big data", Proc. SPIE 11933, 2021 International Conference on Neural Networks, Information and Communication Engineering, 119330H (15 October 2021); https://doi.org/10.1117/12.2615143

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