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    Control interface for asset tree monitoring
    5.
    发明授权
    Control interface for asset tree monitoring 有权

    公开(公告)号：US10747816B1

    公开(公告)日：2020-08-18

    申请号：US16263882

    申请日：2019-01-31

    Applicant: Splunk Inc.

    Inventor： Erick Anthony Dean ,  Brian Matthew Gilmore

    IPC: G06F16/90 ,  G05B19/40 ,  H04L29/08 ,  G06F16/26 ,  G06F16/901 ,  G05B19/4063 ,  G06F16/248 ,  G06F16/9535

    Abstract: An asset monitoring and reporting system (AMRS) implements an interface to establish an asset hierarchy to be monitored and reported against. The interface employs a search query of extant asset data from which definitional aspects of the asset hierarchy can be identified, and therefrom the interface automatically determines control information reflective of the asset hierarchy to direct the ongoing operation of the AMRS. The asset or component hierarchy may further inform operations related to the generation and display of a user interface presenting widgets that graphically depict information about one or more such components during AMRS operation.

    Analytics for Edge Devices
    6.
    发明申请
    Analytics for Edge Devices 审中-公开

    公开(公告)号：US20180034715A1

    公开(公告)日：2018-02-01

    申请号：US15224440

    申请日：2016-07-29

    Applicant: Splunk Inc.

    Inventor： Pradeep B. Nagaraju ,  Adam Jamison Oliner ,  Brian Matthew Gilmore ,  Erick Anthony Dean ,  Jiahan Wang

    IPC: H04L12/26 ,  H04L12/24 ,  G06F17/30 ,  G06N99/00

    Abstract: Disclosed is a technique that can be performed by an electronic device. The technique can include generating timestamped events, where the timestamped events include raw data generated by electronic device. The technique can further include obtaining results by performing a operation on the timestamped events, in accordance with instructions. The technique can further include sending the results or indicia thereof over a network to a server computer system, and receiving back new instructions generated by the server computer system based on the sent results. Lastly, the technique can include performing a new operation on timestamped events including raw data generated based by the electronic device, where the new operation can be performed in accordance with the new instructions to obtain new results.

    MONITORING SYSTEM CONTROL INTERFACE FOR ASSET TREE DETERMINATION
    8.
    发明申请
    MONITORING SYSTEM CONTROL INTERFACE FOR ASSET TREE DETERMINATION 有权

    公开(公告)号：US20220318308A1

    公开(公告)日：2022-10-06

    申请号：US17723440

    申请日：2022-04-18

    Applicant: Splunk Inc.

    Inventor： Erick Anthony Dean ,  Brian Matthew Gilmore

    IPC: G06F16/901 ,  H04L67/10 ,  G05B19/4063 ,  G06F16/26 ,  G06F16/248 ,  G06F16/9535

    Abstract: A method to provide an interface for asset tee determination includes performing a search of data, the search including user-supplied criteria information, causing display of results of the search, receiving user input providing classifications for the results of the search, the classifications indicating asset identifier and asset parent identifier fields in the results of the search, identifying, based on the user input and the results of the search, a plurality of unique assets identifiers and corresponding asset parent identifiers, and automatically generating a computer representation of an asset hierarchy comprising an asset node for each asset identifier, an asset parent node for each asset parent identifier, and a representation of hierarchical relationships between asset nodes and asset parent nodes.

    Machine Learning in Edge Analytics
    9.
    发明申请
    Machine Learning in Edge Analytics 审中-公开

    公开(公告)号：US20180032908A1

    公开(公告)日：2018-02-01

    申请号：US15224439

    申请日：2016-07-29

    Applicant: Splunk Inc.

    Inventor： Pradeep B. Nagaraju ,  Adam Jamison Oliner ,  Brian Matthew Gilmore ,  Erick Anthony Dean ,  Jiahan Wang

    IPC: G06N99/00 ,  G06F17/30

    CPC classification number: G06N20/00 ,  G06F11/30

    Abstract: Disclosed is a technique that can be performed by an electronic device. The technique can include generating raw data based on inputs to the electronic device, and sending the raw data or data items over a network to a server computer system. The sent raw data or the data items can include training data. The technique can further include receiving global model data from the server computer system over the network. The global model data may have been derived from the training data in accordance with a machine learning process. The technique can further include generating an updated local model by updating a local model associated with the electronic device based on the received global model data, and processing local data based on the updated local model to generate output data. The local data can include raw data or data items generated based on inputs to the electronic device.

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