System architecture for cohorting sensor data

    公开(公告)号:US11500528B2

    公开(公告)日:2022-11-15

    申请号:US16579400

    申请日:2019-09-23

    Abstract: A method of cohorting data sets can include accessing a plurality of data sets each associated with a different target item and a plurality of test items and receiving from a user a selection of a plurality of the data sets. For each of the selected data sets, the method may include determining one or more of the test items interacting with the respective target within a threshold parameter and identifying one or more matching test items of the plurality of test items associated with interactions with each of the targets of the selected data sets. The method can include generating a graphical user interface to display a representation of the matching test items, the selected data sets, or both and receiving a filter selection for reducing a number of the matching test items to a filtered one or more test items smaller than the number of matching test items.

    System architecture for cohorting sensor data

    公开(公告)号:US11768595B2

    公开(公告)日:2023-09-26

    申请号:US18053712

    申请日:2022-11-08

    CPC classification number: G06F3/04847 G06F9/451

    Abstract: A method of cohorting data sets can include accessing a plurality of data sets each associated with a different target item and a plurality of test items and receiving from a user a selection of a plurality of the data sets. For each of the selected data sets, the method may include determining one or more of the test items interacting with the respective target within a threshold parameter and identifying one or more matching test items of the plurality of test items associated with interactions with each of the targets of the selected data sets. The method can include generating a graphical user interface to display a representation of the matching test items, the selected data sets, or both and receiving a filter selection for reducing a number of the matching test items to a filtered one or more test items smaller than the number of matching test items.

    SYSTEM ARCHITECTURE FOR COHORTING SENSOR DATA

    公开(公告)号:US20210004147A1

    公开(公告)日:2021-01-07

    申请号:US16579400

    申请日:2019-09-23

    Abstract: A method of cohorting data sets can include accessing a plurality of data sets each associated with a different target item and a plurality of test items and receiving from a user a selection of a plurality of the data sets. For each of the selected data sets, the method may include determining one or more of the test items interacting with the respective target within a threshold parameter and identifying one or more matching test items of the plurality of test items associated with interactions with each of the targets of the selected data sets. The method can include generating a graphical user interface to display a representation of the matching test items, the selected data sets, or both and receiving a filter selection for reducing a number of the matching test items to a filtered one or more test items smaller than the number of matching test items.

    RELATIONSHIP ANALYSIS AND MAPPING FOR INTERRELATED MULTI-LAYERED DATASETS

    公开(公告)号:US20220237204A1

    公开(公告)日:2022-07-28

    申请号:US17723460

    申请日:2022-04-19

    Abstract: Systems and methods are provided for analyzing and visualizing relationship of multi-layered datasets. A system stores original datasets in a datastore. The system generates first derivative datasets from the original datasets, and generates second derivative datasets from at least the first derivative datasets. The system determines relationships among the original datasets, the first derivative datasets, and the second derivative datasets, based on an analytical relationship between two datasets, a similarity relationship between two datasets, a modification relationship between two datasets, and a user-interaction relationship between two datasets. Then, the system generates a node map including at least part of the original datasets, the first derivative datasets, and the second derivative datasets as a node, and at least part of the determined analytical, similarity, modification, and user-interaction relationships between two nodes as a link.

    Relationship analysis and mapping for interrelated multi-layered datasets

    公开(公告)号:US10769171B1

    公开(公告)日:2020-09-08

    申请号:US15900301

    申请日:2018-02-20

    Abstract: Systems and methods are provided for analyzing and visualizing relationship of multi-layered datasets. A system stores original datasets in a datastore. The system generates first derivative datasets from the original datasets, and generates second derivative datasets from at least the first derivative datasets. The system determines relationships among the original datasets, the first derivative datasets, and the second derivative datasets, based on an analytical relationship between two datasets, a similarity relationship between two datasets, a modification relationship between two datasets, and a user-interaction relationship between two datasets. Then, the system generates a node map including at least part of the original datasets, the first derivative datasets, and the second derivative datasets as a node, and at least part of the determined analytical, similarity, modification, and user-interaction relationships between two nodes as a link.

    Relationship analysis and mapping for interrelated multi-layered datasets

    公开(公告)号:US11874850B2

    公开(公告)日:2024-01-16

    申请号:US17723460

    申请日:2022-04-19

    CPC classification number: G06F16/26 G06F16/2264 G06F16/288

    Abstract: A system stores original datasets in a datastore. The system generates first derivative datasets from the original datasets, and generates second derivative datasets from at least the first derivative datasets. The system determines relationships among the original datasets, the first derivative datasets, and the second derivative datasets, based on an analytical relationship between two datasets, a similarity relationship between two datasets, a modification relationship between two datasets, and a user-interaction relationship between two datasets. Then, the system generates a node map including at least part of the original datasets, the first derivative datasets, and the second derivative datasets as a node, and at least part of the determined analytical, similarity, modification, and user-interaction relationships between two nodes as a link.

    SYSTEM ARCHITECTURE FOR COHORTING SENSOR DATA

    公开(公告)号:US20240012552A1

    公开(公告)日:2024-01-11

    申请号:US18453962

    申请日:2023-08-22

    CPC classification number: G06F3/04847 G06F9/451

    Abstract: A method of cohorting data sets can include accessing a plurality of data sets each associated with a different target item and a plurality of test items and receiving from a user a selection of a plurality of the data sets. For each of the selected data sets, the method may include determining one or more of the test items interacting with the respective target within a threshold parameter and identifying one or more matching test items of the plurality of test items associated with interactions with each of the targets of the selected data sets. The method can include generating a graphical user interface to display a representation of the matching test items, the selected data sets, or both and receiving a filter selection for reducing a number of the matching test items to a filtered one or more test items smaller than the number of matching test items.

    SYSTEM ARCHITECTURE FOR COHORTING SENSOR DATA

    公开(公告)号:US20230081865A1

    公开(公告)日:2023-03-16

    申请号:US18053712

    申请日:2022-11-08

    Abstract: A method of cohorting data sets can include accessing a plurality of data sets each associated with a different target item and a plurality of test items and receiving from a user a selection of a plurality of the data sets. For each of the selected data sets, the method may include determining one or more of the test items interacting with the respective target within a threshold parameter and identifying one or more matching test items of the plurality of test items associated with interactions with each of the targets of the selected data sets. The method can include generating a graphical user interface to display a representation of the matching test items, the selected data sets, or both and receiving a filter selection for reducing a number of the matching test items to a filtered one or more test items smaller than the number of matching test items.

    Relationship analysis and mapping for interrelated multi-layered datasets

    公开(公告)号:US11308117B2

    公开(公告)日:2022-04-19

    申请号:US17013510

    申请日:2020-09-04

    Abstract: A system stores original datasets in a datastore. The system generates first derivative datasets from the original datasets, and generates second derivative datasets from at least the first derivative datasets. The system determines relationships among the original datasets, the first derivative datasets, and the second derivative datasets, based on an analytical relationship between two datasets, a similarity relationship between two datasets, a modification relationship between two datasets, and a user-interaction relationship between two datasets. Then, the system generates a node map including at least part of the original datasets, the first derivative datasets, and the second derivative datasets as a node, and at least part of the determined analytical, similarity, modification, and user-interaction relationships between two nodes as a link.

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