Predicting and classifying network activity events

    公开(公告)号:US10909557B2

    公开(公告)日:2021-02-02

    申请号:US15651057

    申请日:2017-07-17

    Abstract: Disclosed are various embodiments for predicting and classifying events that create a sudden or substantial increase in network traffic activity. To begin, an increase of network activity can be detected. Upon detecting the increase in network activity, it can be determined that the increase in network activity is unexpected in view of one or more predicted activity events. The system can be adjusted to reduce the network activity in response to determining that the increase in network activity is unexpected.

    Predicting and classifying network activity events

    公开(公告)号:US09727882B1

    公开(公告)日:2017-08-08

    申请号:US13924046

    申请日:2013-06-21

    CPC classification number: G06Q30/0202 G06F9/50

    Abstract: Disclosed are various embodiments for predicting and classifying events that create a sudden and substantial increase in network traffic activity. To begin, a sales event may be predicted based on the results following the search for one or more prediction factors that occur during a predefined period of time. Based either on the individual results of each evaluation or a combination of results of the search of two or more of the prediction factors, a sales event may be predicted. Additionally, upon detection of a sudden and substantial increase in network traffic activity, one or more classification factors may be evaluated to determine whether the cause of the increase is due to a sales event or other type of alternative activity event.

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