Object control method and the device
A technology for controlling and monitoring objects, which is applied in the fields of instruments, commerce, sales/lease transactions, etc. It can solve the problems of low identification accuracy of cheating users, achieve the effects of increasing recall rate, increasing confidence, and reducing computing costs
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Example Embodiment
[0070] [Method 1]
[0071] figure 1 It is a flowchart of the object control method according to the method embodiment 1 of the present invention. See figure 1 In this embodiment, the method includes:
[0072] S11: Perform credit scoring on the historical data of the monitored object.
[0073] S12: Predict the abnormal probability of the monitored object.
[0074] S13: Perform control processing on the monitored object based on the result of the credit score and the abnormal probability.
[0075] Wherein, the monitoring objects include, but are not limited to, different roles such as user objects, merchant objects, and knight objects.
[0076] In addition, the historical data includes, but is not limited to: the attribute data of the monitored object (taking the user object as an example, the attribute data includes, but is not limited to: the user’s ID card number, Alipay account number, bound bank card number, and Mobile phone number, device number, SIM (Subscriber Identification Modu...
Example Embodiment
[0078] [Method 2]
[0079] The method provided in this embodiment includes all the content in method embodiment 1, which will not be repeated here. Such as figure 2 As shown, in this embodiment, processing S11 is implemented in the following manner:
[0080] S111: Divide the scoring period of the monitored object.
[0081] S112: Perform periodic scoring on the historical data of the monitored object in the scoring period.
[0082] S113: Summarize the results of the periodic scoring to perform the credit scoring.
[0083] For example, one month can be used as a scoring period. Of course, the present invention is not limited to this. Those skilled in the art can divide the scoring period according to other reasonable time lengths according to actual needs.
[0084] In the present invention, the periodic scoring is performed periodically, and then the results of the periodic scoring are aggregated for credit scoring. Therefore, the calculation cost can be reduced, and some data features c...
Example Embodiment
[0085] [Method Implementation Mode 3]
[0086] The method provided in this embodiment includes all the content in method embodiment 2, which will not be repeated here. Such as image 3 As shown, in this embodiment, processing S112 is implemented in the following manner:
[0087] S1121: Perform dimensional scoring on historical data of the monitored object in the scoring period according to the set monitoring dimension.
[0088] S1122: Summarize the results of the dimensional scoring to perform the periodic scoring.
[0089] The monitoring dimensions include, for example, but are not limited to: abnormal order behavior, application operation abnormality, correlation abnormality, sales abnormality, prior behavior abnormality, and normal order behavior.
[0090] In the present invention, the dimensionality scoring is performed first, and then the results of the dimensionality scoring are aggregated to perform the periodic scoring, so the calculation cost can be further reduced.
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