Personal holographic archive regression analysis method based on difference

The invention discloses a difference-based personal holographic archive regression analysis method, relates to the technical field of data processing and analysis, and solves the technical problem that an existing personal information analysis method is difficult to analyze the change trend of dynamic data, so that the judgment of abnormal conditions of related personnel is inaccurate. Comprising the steps of 1, obtaining a plurality of daily behavior data; 2, performing data cleaning on the daily behavior data to obtain a plurality of regular behavior data; 3, inputting the regular behavior data into a standard conversion model to obtain standard behavior data; 4, dividing the standard behavior data to obtain a standard data group; 5, inputting the standard behavior data into the behavior scoring model to obtain a keyword score and an abnormal behavior score, and obtaining a group score corresponding to the standard data group; 6, judging whether the personal holographic archive is abnormal or not according