Anomaly detection
    1.
    发明授权

    公开(公告)号:US10419269B2

    公开(公告)日:2019-09-17

    申请号:US15438477

    申请日:2017-02-21

    Abstract: Event-time pairs are received for a current time slot. Each event-time pair denotes the occurrence of an event at a system by an event type as well as an occurrence time. For each different event type, a property value for the time slot is computed for each different property of a number of different properties, from the event-time pairs having the different event type. For each different property, a time-decaying histogram of identified property values of the different property is updated using the property value computed for the different property for the current time slot. An anomaly score for each identified property value within the time-decaying histogram of each different property is computed to detect occurrence of an anomaly within the system.

    ANOMALY DETECTION
    2.
    发明申请
    ANOMALY DETECTION 审中-公开

    公开(公告)号:US20180241654A1

    公开(公告)日:2018-08-23

    申请号:US15438477

    申请日:2017-02-21

    Abstract: Event-time pairs are received for a current time slot. Each event-time pair denotes the occurrence of an event at a system by an event type as well as an occurrence time. For each different event type, a property value for the time slot is computed for each different property of a number of different properties, from the event-time pairs having the different event type. For each different property, a time-decaying histogram of identified property values of the different property is updated using the property value computed for the different property for the current time slot. An anomaly score for each identified property value within the time-decaying histogram of each different property is computed to detect occurrence of an anomaly within the system.

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