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Risk model training method, risk identification method, device, equipment and medium

A technology of risk model and training method, which is applied in data processing applications, forecasting, instruments, etc., can solve the problems of low identification efficiency and low accuracy of risk model, and achieve better results, high accuracy, and improved accuracy.

Active Publication Date: 2018-09-18
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Embodiments of the present invention provide a risk model training method, risk identification method, device, equipment, and medium to solve the problems of low identification efficiency and low accuracy of the current risk model

Method used

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  • Risk model training method, risk identification method, device, equipment and medium
  • Risk model training method, risk identification method, device, equipment and medium
  • Risk model training method, risk identification method, device, equipment and medium

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0040] figure 1 A flow chart of the risk model training method in this embodiment is shown. The risk model training method can be applied to the computer equipment of the judiciary or other institutions, so that the trained risk model can be used to identify the transport objects (such as passengers) on the means of transport, which can effectively assist the business side in analyzing the risks of the transport objects Level to ensure the safety of other transport objects on the means of transport. like figure 1 As shown, the risk model training method includes the following steps:

[0041] S11: Mark the risk value of the historical travel data to obtain the original training data.

[0042] Wherein, the historical travel data is the travel data of the transportation object obtained from the business party. The historical travel data includes but is not limited to travel time, gender, age, inspection status and travel location, etc. The original training data is the train...

Embodiment 2

[0092] Image 6 A functional block diagram of a risk model training device corresponding to the risk model training method in Embodiment 1 is shown. like Image 6 As shown, the risk model training device includes an original training data acquisition module 11 , a target training data acquisition module 12 , a target training data division module 13 , an original risk model acquisition module 14 and a target risk model acquisition module 15 . Among them, the original training data acquisition module 11, the target training data acquisition module 12, the target training data division module 13, the original risk model acquisition module 14 and the target risk model acquisition module 15 realize the functions corresponding to the steps of the risk model training method in the embodiment One-to-one correspondence, in order to avoid redundant description, this embodiment does not describe in detail one by one.

[0093] The original training data acquisition module 11 is used to...

Embodiment 3

[0119] Figure 7 A flow chart of the risk identification method in this embodiment is shown. The risk identification method can be applied to the computer equipment of the judiciary or other institutions to check the historical travel data of the transportation object, so as to assist the business side in analyzing the risk level of the transportation object. like Figure 7 As shown, the risk model training method includes the following steps:

[0120] S21: Obtain travel data to be identified.

[0121] Among them, the travel data to be identified refers to the behavior data collected in real time by the transport object to identify whether there is a risk when traveling. The travel data to be identified includes, but is not limited to, the travel time, travel location, and inspection status of the transport object, and also includes the basic characteristics of the transport object itself (eg, gender and age). Specifically, the inspection situation refers to the situation ...

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Abstract

The invention discloses a risk model training method, a risk model training device, a risk identification method, a risk identification device, equipment and a medium. The risk model training method comprises the steps of: performing risk value labeling on historical travel data, and acquiring original training data; conducting companion analysis and port drift analysis on the original training data to obtain target training data; splitting the target training data according to preset time to obtain a training set and a test set; adopting a decision tree algorithm to train the target trainingdata in the training set, so as to obtain an original risk model; and adopting the test set to test the original risk model, so as to obtain a target risk model. The risk model training method effectively solves the problem that a current risk model has low identification efficiency and the accuracy rate of the current risk model is not high.

Description

technical field [0001] The present invention relates to the field of data prediction, in particular to a risk model training method, risk identification method, device, equipment and medium. Background technique [0002] At present, risk models based on the transportation industry are mainly used to identify the risks of transportation objects, especially for training and identifying the criminal risks of transportation objects. The factors of the existing risk model based on the transportation industry have little influence on the model. For example: the existing risk model includes model factors such as the travel time point, travel location, gender, date of birth and document type of the transport object. The number of these model factors is small and the amount of risk-related information contained is small, so that the identification efficiency of the risk model obtained by only using these model factors for training is low, and the accuracy of risk model identificatio...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q10/08
CPCG06Q10/04G06Q10/0635G06Q10/083G06Q50/40
Inventor 金戈徐亮肖京
Owner PING AN TECH (SHENZHEN) CO LTD
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