Key personnel risk assessment method based on fusion of space-time trajectories

Abstract

The invention provides a key personnel risk assessment method based on fusion of a space-time trajectory, and the method comprises the steps: S1, screening and preprocessing the static information data of key personnel to obtain the static features of the key personnel; S2, fusing the portrait space-time trajectory data of the key personnel and the mobile phone three-code space-time trajectory data to obtain fused space-time trajectory data; S3, extracting behavior characteristics of the fused space-time trajectory data and carrying out characteristic derivation to obtain dynamic characteristics of the key personnel; S4, deleting and selecting to obtain effective features, and performing feature coding; S5, inputting the feature codes of the effective features into a gradient boosting decision tree model to obtain importance scores corresponding to the static and dynamic features; and S6, training a heterogeneous deep neural network model through the feature coding values of the staticand dynamic features of which the importance scores are higher than a set score threshold; A risk score of the key person is given out through the trained heterogeneous deep neural network model.

Description

technical field [0001] The invention relates to the field of management and control of key public security personnel, in particular to a risk assessment method for key personnel based on fusion of time and space trajectories. Background technique [0002] The key personnel are those under the key management of the public security organs. It is an important basic work of the grassroots level of the public security organs to provide important information sources for the daily work of the public security organs through the management and control of key personnel. Management of key personnel can prevent, discover and crack down on illegal and criminal acts in advance, save those who are prone to illegal and criminal activities, and eliminate hidden dangers to social security. Establishing an effective key personnel risk management system can effectively reduce the crime rate and maintain social stability. [0003] The traditional management and control mode of public security ...

AI Technical Summary

Problems solved by technology

However, although the time-space trajectories such as MAC, IMSI, and IMEI have a certain degree of density, it is difficult to accurately determine the identity of the mobile phone holder based on IMSI and MAC information, considering the existence of multiple cards for one person, mobile phone fraudulent use, and mobile...

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