Research on the Prediction of Suspect at the Airport Based on Big Data

被引：0

作者：

Lao, Kunseng ^{[1
]}

机构：

[1] Macau Univ Sci & Technol, Taipa, Macao, Peoples R China

来源：

2021 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, INFORMATION AND COMMUNICATION ENGINEERING | 2021年 / 11933卷

关键词：

big data; crime prediction; data mining;

D O I：

10.1117/12.2615143

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页数：5