Personal abnormal behavior detection method and device
The invention provides a personal abnormal behavior detection method and device. The method comprises the steps of 1) obtaining a stable sequence corresponding to original data of a to-be-detected user; 2) determining a corresponding baseline constant value by using a simple average algorithm for th...
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Main Authors | , , , , |
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Format | Patent |
Language | Chinese English |
Published |
01.09.2020
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Subjects | |
Online Access | Get full text |
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Summary: | The invention provides a personal abnormal behavior detection method and device. The method comprises the steps of 1) obtaining a stable sequence corresponding to original data of a to-be-detected user; 2) determining a corresponding baseline constant value by using a simple average algorithm for the stationary sequence of which the data length is smaller than a first preset threshold in the stationary sequences; 3) training a target ARIMA model for a stationary sequence of which the data length is not less than a first preset threshold in the stationary sequences, and predicting a predicted value of the user to be detected by using the target ARIMA model; 4) predicting a predicted value of the to-be-detected user by using an exponential smoothing method prediction baseline model; and 5) selecting an optimal model from the target ARIMA model and the exponential smoothing method prediction baseline model as a baseline model, and identifying abnormal users in the to-be-detected users byusing the baseline model. |
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Bibliography: | Application Number: CN202010465761 |