Compliant entity conflation and access

    公开(公告)号:US11537618B2

    公开(公告)日:2022-12-27

    申请号:US16822262

    申请日:2020-03-18

    Abstract: The disclosed embodiments provide a system for managing data conflation. During operation, the system generates matches between a first set of entities in a first dataset from a first data provider and a second set of entities in a second dataset from a second data provider based on comparisons of fields in the first and second datasets. Next, the system modifies a join query for joining the first and second datasets to include operators representing compliance rules for the first or second datasets. The system executes the modified join query to produce a joined dataset that adheres to the compliance rules and stores data related to the joined dataset within a platform that logically isolates the data from additional datasets. During processing of queries of the data, the system modifies the queries to include additional operators that enforce access control policies for the data.

    EXPOSURE AND APPLICATION BEHAVIOR SETTING BASED ON DO NOT DISTURB STATE

    公开(公告)号:US20180227377A1

    公开(公告)日:2018-08-09

    申请号:US15423601

    申请日:2017-02-03

    Abstract: Variety of approaches to propagate a do not disturb state are described. A hosted service initiates operations to propagate the do not disturb state upon determining a user's state to be the do not disturb state based on receiving a direct user input or an inference from user associated data. The do not disturb state is exposed to an application consumed by a user and other application consumed by other user. The hosted service provides the application and the other application. A behavior of the application is configured based on the do not disturb state. Upon expiration of the do not disturb state, the behavior of the application is reverted.

    COMPLIANT ENTITY CONFLATION AND ACCESS

    公开(公告)号:US20210294797A1

    公开(公告)日:2021-09-23

    申请号:US16822262

    申请日:2020-03-18

    Abstract: The disclosed embodiments provide a system for managing data conflation. During operation, the system generates matches between a first set of entities in a first dataset from a first data provider and a second set of entities in a second dataset from a second data provider based on comparisons of fields in the first and second datasets. Next, the system modifies a join query for joining the first and second datasets to include operators representing compliance rules for the first or second datasets. The system executes the modified join query to produce a joined dataset that adheres to the compliance rules and stores data related to the joined dataset within a platform that logically isolates the data from additional datasets. During processing of queries of the data, the system modifies the queries to include additional operators that enforce access control policies for the data.

    Resource conflict detection and communication

    公开(公告)号:US11055647B2

    公开(公告)日:2021-07-06

    申请号:US15928426

    申请日:2018-03-22

    Abstract: A meeting assignment conflict, between two meetings, a, is detected, because a meeting organizer is attempting to assign a given conference room to a second meeting, when it is already assigned to a first meeting. It is determined whether a number of participants in the first meeting is small enough to be accommodated by a different conference room. If so, the first meeting is automatically reassigned to the different conference room, and the second meeting is assigned to the given conference room.

    TESTING AND EVALUATING PREDICTIVE SYSTEMS
    10.
    发明申请

    公开(公告)号:US20180357654A1

    公开(公告)日:2018-12-13

    申请号:US15617363

    申请日:2017-06-08

    Abstract: Methods, systems, and computer programs are presented for evaluating the accuracy of predictive systems and quantifiable measures of incremental value. One method provides a scientific solution to test and evaluate predictive systems in a transparent, rigorous, and verifiable way to allow decision-makers to better decide whether to adopt a new predictive system. In one example, objects to be evaluated are assigned to a control group or an experiment group. The testing provides an equal or better distribution of scores in the control group for the scores obtained with the first predictor, but the method aims at maximizing the scores of objects obtained with the second predictor in the experiment group. Since the first scores are evenly distributed in both groups, any result improvements may be attributed to the better accuracy of the second predictor when the results of the experiment group are better than the results of the control group.

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