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    Identifying similar field sets using related source types
    52.
    发明授权
    Identifying similar field sets using related source types 有权

    公开(公告)号：US10949420B2

    公开(公告)日：2021-03-16

    申请号：US16050487

    申请日：2018-07-31

    Applicant: SPLUNK INC.

    Inventor： Kristal Lyn Curtis ,  Archana Sulochana Ganapathi ,  Adam Oliner ,  Steve Yu Zhang

    IPC: G06F16/24 ,  G06F16/242 ,  G06F16/25 ,  G06F16/31 ,  G06F16/907

    Abstract: Embodiments of the present invention are directed to identifying related data, in particular, data associated with different source types. In embodiments, a first source type related to a second source type associated with a search query is identified. Field set pairs are identified from a first data set associated with the first source type and a second data set associated with the second source type. Each field set pair can include one field set associated with the first source type and another field set associated with the second source type. For each field set pair, an extent of similarity is determined between the corresponding field sets. Based on the extent of similarities between the corresponding field sets, at least one pair of related field sets is identified. An indication of the at least one pair of related field sets is provided, for example, for presentation to a user.

    Identifying personally identifiable information in machine-generated data
    53.
    发明授权
    Identifying personally identifiable information in machine-generated data 有权

    公开(公告)号：US10929560B2

    公开(公告)日：2021-02-23

    申请号：US15582465

    申请日：2017-04-28

    Applicant: SPLUNK INC.

    Inventor： Adam Oliner ,  Nghi Nguyen

    IPC: G06F21/62 ,  G06F16/2458

    Abstract: Implementations include receiving a user provided example value of personally identifiable information (PII). Occurrences of the received example value are automatically identified in a dataset of events, wherein each occurrence is identified in a portion of raw machine data of a respective event of the events. For each occurrence of the identified occurrences, an extraction rule is generated, which defines a pattern of the occurrence of the example value and is executable to identify PII values in portions of raw machine data of the events using the pattern. Values of the PII are identified in a set of events using a set of extraction rules comprising the extraction rule of a plurality of the occurrences.

    PROVIDING SIMILAR FIELD SETS BASED ON RELATED SOURCE TYPES
    55.
    发明申请
    PROVIDING SIMILAR FIELD SETS BASED ON RELATED SOURCE TYPES 审中-公开

    公开(公告)号：US20200042651A1

    公开(公告)日：2020-02-06

    申请号：US16050616

    申请日：2018-07-31

    Applicant: SPLUNK INC.

    Inventor： Kristal Lyn Curtis ,  Archana Sulochana Ganapathi ,  Adam Oliner ,  Steve Yu Zhang

    IPC: G06F17/30 ,  G06N5/02 ,  G06F3/0482

    Abstract: Embodiments of the present invention are directed to identifying and providing related data field sets. In one embodiment, a first portion of a graphical user interface (GUI) configured to receive a search query is displayed. The GUI enables user interaction to specify a source type in association with the search query. In accordance with a first source type specified in the search query, a first field set associated with the first source type is identified as related to a second field set associated with a second source type. A second portion of the GUI is displayed that includes a relationship indication that indicates the first field set associated with the first source type is related to the second field set associated with a second source type. Further, a third portion of the GUI is displayed that includes an explanation or recommendation associated with the relationship indication.

    METRIC FORECASTING INTERFACE WITH ALERT PREDICTION
    56.
    发明申请
    METRIC FORECASTING INTERFACE WITH ALERT PREDICTION 审中-公开

    公开(公告)号：US20190236210A1

    公开(公告)日：2019-08-01

    申请号：US15884090

    申请日：2018-01-30

    Applicant: SPLUNK INC.

    Inventor： Iman Makaremi ,  Gyanendra Rana ,  Iryna Vogler-Ivashchanka ,  Adam Oliner ,  Harsh Keswani ,  Manish Sainani ,  Alexander Kim

    IPC: G06F17/30 ,  G06F17/27 ,  H04L29/06 ,  H04L29/08 ,  H04L12/24

    Abstract: Operational machine components of an information technology (IT) or other microprocessor- or microcontroller-permeated environment generate disparate forms of machine data. Network connections are established between these components and processors of an automatic data intake and query system (DIQS). The DIQS conducts network transactions on a periodic and/or continuous basis with the machine components to receive the disparate data and ingest certain of the data as measurement entries of a DIQS metrics datastore that is searchable for DIQS query processing. The DIQS may receive search queries to process against the received and ingested data via an exposed network interface. In one example embodiment, a query building component conducts a user interface using a network attached client device. The query building component may elicit search criteria via the user interface using a natural language interface, construct a proper query therefrom, and present new information based on results returned from the DIQS.

    DISTRIBUTED DATA PROCESSING FOR MACHINE LEARNING
    57.
    发明申请
    DISTRIBUTED DATA PROCESSING FOR MACHINE LEARNING 审中-公开

    公开(公告)号：US20190095817A1

    公开(公告)日：2019-03-28

    申请号：US15885395

    申请日：2018-01-31

    Applicant: Splunk Inc.

    Inventor： Lin Ma ,  Jacob Leverich ,  Adam Oliner ,  Alex Cruise ,  Hongyang Zhang

    IPC: G06N99/00 ,  G06F17/30 ,  G06F7/08 ,  H04L29/06

    Abstract: Embodiments of the present invention are directed to facilitating distributed data processing for machine learning. In accordance with aspects of the present disclosure, a set of commands in a query to process at an external computing service is identified. For each command in the set of commands, at least one compute unit including at least one operation to perform at the external computing service is identified. Each of the at least one compute unit associated with each command is analyzed to identify an optimized manner in which to execute the set of commands at the external computing service. An indication of the optimized manner in which to execute the set of commands and a corresponding set of data is provided to the external computing service to utilize for executing the set of commands at the external computing service.

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