Reasoning based workflow management

    公开(公告)号:US11790082B2

    公开(公告)日:2023-10-17

    申请号:US17330098

    申请日:2021-05-25

    CPC classification number: G06F21/554 G06F21/54 G06F21/566 G06F21/602

    Abstract: An approach to workflow management in response to a detected security incident in a computer system. The approach may include an inference driven response based on prior artifacts. The inference driven response may predict the condition of the system and the outcomes of actions in response to the security incident. The predictions made by the inference drive response may be based on a machine learning model. The inference driven response may pause or prevent scheduled actions of the system based on the predictions. The inference driven response may continue to monitor the system and dynamically update its predictions for the condition of the system. In response to the updated predictions, the inference driven response may cancel or execute the previously scheduled actions of the system.

    NOTIFICATION OF PROXIMAL POINTS OF INTEREST
    7.
    发明申请
    NOTIFICATION OF PROXIMAL POINTS OF INTEREST 有权
    临时点的通知

    公开(公告)号:US20170016736A1

    公开(公告)日:2017-01-19

    申请号:US14802190

    申请日:2015-07-17

    Abstract: One or more processors analyze at least one first user input. One or more processors determine one or more interests of a first user based, at least in part, on the at least one first user input. One or more processors determine a proximity of the first user to one or more points of interest within a first threshold distance of the first user while the first user is mobile. One or more processors match at least one interest of the first user with one or more interests associated with a point of interest of the one or more points of interest. One or more processors provide a notification that the first user is within the first threshold distance of the point of interest.

    Abstract translation: 一个或多个处理器分析至少一个第一用户输入。 至少部分地基于至少一个第一用户输入,一个或多个处理器确定第一用户的一个或多个兴趣。 当第一用户是移动的时,一个或多个处理器确定第一用户在第一用户的第一阈值距离内的一个或多个兴趣点的接近度。 一个或多个处理器将第一用户的至少一个兴趣与与一个或多个兴趣点的兴趣点相关联的一个或多个兴趣相匹配。 一个或多个处理器提供第一用户处于兴趣点的第一阈值距离之内的通知。

    REASONING BASED WORKFLOW MANAGEMENT

    公开(公告)号:US20220382859A1

    公开(公告)日:2022-12-01

    申请号:US17330098

    申请日:2021-05-25

    Abstract: An approach to workflow management in response to a detected security incident in a computer system. The approach may include an inference driven response based on prior artifacts. The inference driven response may predict the condition of the system and the outcomes of actions in response to the security incident. The predictions made by the inference drive response may be based on a machine learning model. The inference driven response may pause or prevent scheduled actions of the system based on the predictions. The inference driven response may continue to monitor the system and dynamically update its predictions for the condition of the system. In response to the updated predictions, the inference driven response may cancel or execute the previously scheduled actions of the system.

    Notification of proximal points of interest

    公开(公告)号:US11243092B2

    公开(公告)日:2022-02-08

    申请号:US16578545

    申请日:2019-09-23

    Abstract: One or more processors track internet usage of a user. The tracking includes tracking a first user input into one or more websites using a keylogging subprogram. One or more processors analyze the first user input. Analyzing the first user input includes using machine learning to gain knowledge of one or more interests of the first user based on the first user input. One or more processors determine a proximity of the first user to at least one point of interest within a first threshold distance of the first user while the first user is mobile, match at least one interest of the one or more interests of the first user with one or more interests associated with the at least one point of interest, and provide a notification that the first user is within the first threshold distance of the at least one point of interest.

    Machine learning on mixed data documents

    公开(公告)号:US11182545B1

    公开(公告)日:2021-11-23

    申请号:US16924869

    申请日:2020-07-09

    Abstract: A first natural language document is received. The document includes unstructured data and a first table structure that includes a plurality of first table entries. The first table structure is identified based on the document. The first table structure is extracted from the document in response to the identifying. A first machine learning output is generated based on a first machine learning model and from the document. A second machine learning output is generated based on a second machine learning model and from the first table structure. The first output of the document and the second output of the first table structure are combined.

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