SYSTEMS AND METHODS FOR ANOMALY PREDICTION
    1.
    发明公开

    公开(公告)号:US20240281816A1

    公开(公告)日:2024-08-22

    申请号:US18112215

    申请日:2023-02-21

    Applicant: STRIPE, INC.

    CPC classification number: G06Q20/4016 G06N20/00 G06Q20/389

    Abstract: Systems and methods for anomaly prediction are disclosed. An anomaly detection system identifies data generated for a customer. A first set of features for the customer are identified based on the data. The system performs an anomaly evaluation based on detecting a criterion. The anomaly evaluation may include identifying a customer segment based on the first set of features; identifying a distribution of values for the customer segment; determining, based on the distribution of values, whether a value associated with the first set of features satisfies a threshold; and in response to the determining that the value satisfies the threshold, invoking a machine learning model for predicting an anomaly for the customer based on at least a portion of the data. A notification may be transmitted about the anomaly to trigger an action for addressing the anomaly.

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