Correlating geographic positions with completed sales transactions

    公开(公告)号:US10789613B1

    公开(公告)日:2020-09-29

    申请号:US16568077

    申请日:2019-09-11

    Applicant: Splunk Inc.

    Abstract: Embodiments are disclosed for a method that may include accessing events in a field-searchable data store. The events may include raw machine data associated with a timestamp. The raw machine data may represent interactions between a mobile device and one or more network devices at a locale. The method may further include determining, based on the interactions, one or more geographic positions of the mobile device, and calculating a metric for the locale using the geographic positions.

    Identifying and leveraging patterns in geographic positions of mobile devices

    公开(公告)号:US10776818B1

    公开(公告)日:2020-09-15

    申请号:US16669156

    申请日:2019-10-30

    Applicant: Splunk Inc.

    Abstract: Embodiments are disclosed for a method that may include accessing events in a field-searchable data store. The events may include raw machine data associated with a timestamp. The raw machine data may represent interactions between a mobile device and one or more network devices at a locale. The method may further include determining, based on the interactions, one or more geographic positions of the mobile device, and calculating a metric for the locale using the geographic positions.

    LEVERAGING PATTERNS IN GEOGRAPHIC POSITIONS OF MOBILE DEVICES AT A LOCALE

    公开(公告)号:US20180315089A1

    公开(公告)日:2018-11-01

    申请号:US15582529

    申请日:2017-04-28

    Applicant: Splunk, Inc.

    Abstract: Embodiments are disclosed for a method that may include identifying a mobile device based on events including interactions between the mobile device and one or more network devices on a network at a locale, generating geographic position patterns for the mobile device using the interactions, determining a characteristic of the mobile device based on the geographic position patterns, and assigning the mobile device to a cluster sharing the characteristic.

    GEOGRAPHIC POSITIONS OF MOBILE DEVICES AND EXTERNAL DATA SOURCES CORRELATION

    公开(公告)号:US20180315074A1

    公开(公告)日:2018-11-01

    申请号:US15582523

    申请日:2017-04-28

    Applicant: Splunk, Inc.

    Abstract: Embodiments are disclosed for a method that may include accessing, from a first data source, events including interactions between a mobile device and one or more network devices on a network at a locale, and receiving external data from a second data source that excludes the network devices. The method may further include determining, based on the interactions, one or more geographic positions and one or more corresponding time intervals of the mobile device at the geographic positions, and correlating the geographic positions and the time intervals with the external data to obtain a metric.

    Mobile device position correlation with data sources

    公开(公告)号:US11481797B1

    公开(公告)日:2022-10-25

    申请号:US17161315

    申请日:2021-01-28

    Applicant: Splunk Inc.

    Abstract: Embodiments are disclosed for a method that may include accessing, from a first data source, events including interactions between a mobile device and one or more network devices on a network at a locale, and receiving external data from a second data source that excludes the network devices. The method may further include determining, based on the interactions, one or more geographic positions and one or more corresponding time intervals of the mobile device at the geographic positions, and correlating the geographic positions and the time intervals with the external data to obtain a metric.

    Correlation of mobile device positions determined using wireless access points with data sources

    公开(公告)号:US10937052B1

    公开(公告)日:2021-03-02

    申请号:US16455542

    申请日:2019-06-27

    Applicant: Splunk Inc.

    Abstract: Embodiments are disclosed for a method that may include accessing, from a first data source, events including interactions between a mobile device and one or more network devices on a network at a locale, and receiving external data from a second data source that excludes the network devices. The method may further include determining, based on the interactions, one or more geographic positions and one or more corresponding time intervals of the mobile device at the geographic positions, and correlating the geographic positions and the time intervals with the external data to obtain a metric.

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