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    Machine learning anomaly detection
    1.
    发明授权
    Machine learning anomaly detection 有权

    公开(公告)号：US11250343B2

    公开(公告)日：2022-02-15

    申请号：US15617498

    申请日：2017-06-08

    Applicant: SAP SE

    Inventor： Ramprasad Rai ,  Timo Hoyer ,  Dirk Wodtke ,  Ramshankar Venkatasubramanian

    IPC: G06N20/00 ,  G06N20/10 ,  G06N5/02 ,  G06Q10/08 ,  G06F21/57 ,  G06Q10/10 ,  G06Q50/06 ,  G06F21/55 ,  G06F3/0484

    Abstract: The disclosure generally describes methods, software, and systems, including a method for machine learning anomaly detection for a set of assets. Assets are analyzed using anomaly-detection analysis and a set of anomaly-detection rules. Each asset is associated with correlated records comprising characteristics of the particular asset and characteristic of non-asset-specific signals. Each anomaly-detection rule is associated with conditions determined to be indicative of a potential anomaly. At least a subset of the assets are provided for presentation in a user interface. Each asset is identified as being in a potential anomalous or non-anomalous state based on the anomaly-detection analysis. Input is received from a user identifying at least one asset as anomalous as a non-anomalous asset. Based on the received input, at least one anomaly-detection rule is modified that was applied to identify the asset as anomalous. The modified rule is stored for future analyses.

    PRESENTING RESOURCE UTILIZATION IN A USER INTERFACE
    2.
    发明申请
    PRESENTING RESOURCE UTILIZATION IN A USER INTERFACE 审中-公开

    公开(公告)号：US20170153799A1

    公开(公告)日：2017-06-01

    申请号：US14955333

    申请日：2015-12-01

    Applicant: SAP SE

    Inventor： Timo Hoyer ,  Nicole Geller ,  Christian Scheirmann

    IPC: G06F3/0484 ,  G06F3/0482 ,  G06Q10/06

    Abstract: Methods, systems, and computer-readable storage mediums for presenting resources utilization in a user interface (UI) are provided. Implementations include actions of presenting a first view of the UI that includes a first plurality of resources displayed in a first area and an assignment scheduling view displayed in a second area that is defined along a timeline and comprises assignment visual elements representing assignments assigned to respective resources over respective time periods along the timeline, receiving an input for switching the UI from the first view to a second view, and presenting the second view that includes a second plurality of resources in the first area and a map in the second area including, for each of the second plurality of resources, a respective utilization visual element along the timeline representing respective utilization of the resource at each time point of the timeline in a visual gradient.

    MACHINE LEARNING ANOMALY DETECTION
    4.
    发明申请
    MACHINE LEARNING ANOMALY DETECTION 审中-公开

    公开(公告)号：US20180357556A1

    公开(公告)日：2018-12-13

    申请号：US15617498

    申请日：2017-06-08

    Applicant: SAP SE

    Inventor： Ramprasad Rai ,  Timo Hoyer ,  Dirk Wodtke ,  Ramshankar Venkatasubramanian

    IPC: G06N99/00

    CPC classification number: G06N99/005 ,  G06F3/0484

    Abstract: The disclosure generally describes methods, software, and systems, including a method for machine learning anomaly detection for a set of assets. Assets are analyzed using anomaly-detection analysis and a set of anomaly-detection rules. Each asset is associated with correlated records comprising characteristics of the particular asset and characteristic of non-asset-specific signals. Each anomaly-detection rule is associated with conditions determined to be indicative of a potential anomaly. At least a subset of the assets are provided for presentation in a user interface. Each asset is identified as being in a potential anomalous or non-anomalous state based on the anomaly-detection analysis. Input is received from a user identifying at least one asset as anomalous as a non-anomalous asset. Based on the received input, at least one anomaly-detection rule is modified that was applied to identify the asset as anomalous. The modified rule is stored for future analyses.

    IoT Application Solution Support Assistant Graphical User Interface
    5.
    发明申请
    IoT Application Solution Support Assistant Graphical User Interface 审中-公开

    公开(公告)号：US20200050333A1

    公开(公告)日：2020-02-13

    申请号：US16057632

    申请日：2018-08-07

    Applicant: SAP SE

    Inventor： Timo Hoyer ,  Riccardo Spina ,  Dirk Wodtke

    IPC: G06F3/0486 ,  G06F3/0481 ,  G06Q10/08

    Abstract: A graphical user interface is rendered that includes a plurality of cards and a launch pad. Each of the cards includes at least one graphical user interface element each with a corresponding information element. Thereafter, first user-generated input is received via the graphical user interface selecting one of the graphical user interface elements. In addition, second user-generated input is received via the graphical user interface selecting the launch pad. In some variations, the first user-generated input and the second user-generated input form a combined gesture. Subsequently, a new card is displayed in the launch pad in the graphical user interface. The new card includes additional information for the information element corresponding to the selected graphical user interface element.

    Suggestion of views based on correlation of data
    7.
    发明授权
    Suggestion of views based on correlation of data 有权

    公开(公告)号：US10929421B2

    公开(公告)日：2021-02-23

    申请号：US15617408

    申请日：2017-06-08

    Applicant: SAP SE

    Inventor： Ramprasad Rai ,  Timo Hoyer ,  Shridhar Nayak ,  Dirk Wodtke ,  Ramshankar Venkatasubramanian ,  Riccardo Spina

    IPC: G06F16/245 ,  G06F16/26 ,  G06N20/00 ,  G06F16/2455

    Abstract: The disclosure generally describes methods, software, and systems, including a method for providing a suggested view of asset information for presentation. A set of correlated records is identified for a plurality of assets. The set of correlated records includes a correlated set of at least one characteristic of a particular asset and a characteristic of the non-asset-specific signals. The set of correlated records is analyzed to identify a set of anomaly-detection rules. In a presentation of at least a subset of the assets, an indication of assets associated with a potential anomaly identified. A suggested view is identified based on the potential anomaly and at least one characteristic/signal associated with the determination that the potential anomaly exists. The suggested view is provided for presentation in a user interface.

    SUGGESTION OF VIEWS BASED ON CORRELATION OF DATA
    8.
    发明申请
    SUGGESTION OF VIEWS BASED ON CORRELATION OF DATA 审中-公开

    公开(公告)号：US20180357292A1

    公开(公告)日：2018-12-13

    申请号：US15617408

    申请日：2017-06-08

    Applicant: SAP SE

    Inventor： Ramprasad Rai ,  Timo Hoyer ,  Shridhar Nayak ,  Dirk Wodtke ,  Ramshankar Venkatasubramanian ,  Riccardo Spina

    IPC: G06F17/30 ,  G06N99/00 ,  G06F3/0484

    CPC classification number: G06F17/30572 ,  G06F3/0484 ,  G06F17/30477 ,  G06N99/005

    Abstract: The disclosure generally describes methods, software, and systems, including a method for providing a suggested view of asset information for presentation. A set of correlated records is identified for a plurality of assets. The set of correlated records includes a correlated set of at least one characteristic of a particular asset and a characteristic of the non-asset-specific signals. The set of correlated records is analyzed to identify a set of anomaly-detection rules. In a presentation of at least a subset of the assets, an indication of assets associated with a potential anomaly identified. A suggested view is identified based on the potential anomaly and at least one characteristic/signal associated with the determination that the potential anomaly exists. The suggested view is provided for presentation in a user interface.

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