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    Column Store Optimization Using Telescope Columns
    1.
    发明申请
    Column Store Optimization Using Telescope Columns 审中-公开

    公开(公告)号：US20170344587A1

    公开(公告)日：2017-11-30

    申请号：US15680131

    申请日：2017-08-17

    Applicant: SAP SE

    Inventor： Gerrit Simon Kazmaier ,  Hinnerk Gildhoff ,  Lars Volker ,  Tim Grouisborn

    IPC: G06F17/30

    CPC classification number: G06F16/221

    Abstract: A data set of spatial data having a plurality of dimensions and including linestrings can be processing by decomposing each linestring of the plurality of linestrings into a plurality of line segments. Each coordinate dimension appears in at least one line segment of the plurality of line segments can be listed in one of a plurality of dimensional dictionaries that each correspond to a dimension of the plurality of dimensions. A linestring of the plurality of linestrings can be represented as a set of the line segments using the plurality of dimensional dictionaries.

    Columnwise Range K-Nearest Neighbors Search Queries
    3.
    发明申请
    Columnwise Range K-Nearest Neighbors Search Queries 审中-公开
    逐行范围K最近邻居搜索查询

    公开(公告)号：US20170024457A1

    公开(公告)日：2017-01-26

    申请号：US15286445

    申请日：2016-10-05

    Applicant: SAP SE

    Inventor： Christoph Weyerhaeuser ,  Tobias Mindnich ,  Daniel Baeumges ,  Gerrit Simon Kazmaier

    IPC: G06F17/30

    CPC classification number: G06F16/285 ,  G06F16/221 ,  G06F16/24578 ,  G06F16/29

    Abstract: A range k-nearest neighbor search query of a database is processed by first defining an inner rectangle bounded within a circle around a center point specified by the range k-nearest neighbor search query. Thereafter, a distance to the center point is calculated for each point within the inner rectangle. Query results are returned if k or more points are within the inner rectangle. Otherwise, at least one additional query is executed. Related apparatus, systems, techniques and articles are also described.

    Abstract translation: 通过首先定义围绕由范围k-最近邻搜索查询指定的中心点的圆圈内界限的内部矩形来处理数据库的范围k-最近邻搜索查询。 此后，针对内部矩形内的每个点计算到中心点的距离。 如果k个或更多个点在内部矩形内，则返回查询结果。 否则，至少执行一个附加查询。 还描述了相关设备，系统，技术和物品。

    Columnwise storage of point data
    4.
    发明授权
    Columnwise storage of point data 有权
    逐点存储点数据

    公开(公告)号：US09128969B2

    公开(公告)日：2015-09-08

    申请号：US14248099

    申请日：2014-04-08

    Applicant: SAP SE

    Inventor： Christoph Weyerhaeuser ,  Tobias Mindnich ,  Daniel Baeumges ,  Gerrit Simon Kazmaier

    IPC: G06F7/00 ,  G06F17/30

    CPC classification number: G06F17/30321 ,  G06F17/30241 ,  G06F17/30315 ,  G06F17/30445 ,  G06F17/30486

    Abstract: A database query of point data among two or more axes of a database is received. The database stores point data in distinct integer vectors with a shared dictionary. Thereafter, the dictionary is scanned to determine boundaries for each axis specified by the query. In response, results characterizing data responsive to the query within the determined boundaries for each axis are returned. Related apparatus, systems, techniques and articles are also described.

    Abstract translation: 接收到数据库的两个或多个轴之间的点数据的数据库查询。 数据库使用共享字典将点数据存储在不同的整数向量中。 此后，扫描字典以确定查询指定的每个轴的边界。 作为响应，返回表征响应于针对每个轴的确定的边界内的查询的数据的结果。 还描述了相关设备，系统，技术和物品。

    Machine learning based plug-in for providing access to cloud-based analytics engine
    5.
    发明授权
    Machine learning based plug-in for providing access to cloud-based analytics engine 有权

    公开(公告)号：US11288273B2

    公开(公告)日：2022-03-29

    申请号：US16460865

    申请日：2019-07-02

    Applicant: SAP SE

    Inventor： Satishkumar Sekharan ,  Gerrit Simon Kazmaier ,  Sarah Menard

    IPC: G06F17/00 ,  G06F16/2455 ,  G06N20/00

    Abstract: A method may include generating, based on text associated with an interaction between a user and an application, a query corresponding to an intent of the interaction. The query may be generated by applying one or more machine learning models trained to determine the intent of the interaction and to generate the query by mapping, to a corresponding slot in a template query, one or more named entities included in the first text. The query may be sent to an analytics engine not associated with the application to retrieve, from a database associated with the analytics engine, data relevant to the interaction between the user and the application. A data presentation providing a visual representation of the data retrieved from the database may be generated for display at a client associated with the user. Related systems and articles of manufacture are also provided.

    MACHINE LEARNING BASED PLUG-IN FOR PROVIDING ACCESS TO CLOUD-BASED ANALYTICS ENGINE
    10.
    发明申请
    MACHINE LEARNING BASED PLUG-IN FOR PROVIDING ACCESS TO CLOUD-BASED ANALYTICS ENGINE 有权

    公开(公告)号：US20210004370A1

    公开(公告)日：2021-01-07

    申请号：US16460865

    申请日：2019-07-02

    Applicant: SAP SE

    Inventor： Satishkumar Sekharan ,  Gerrit Simon Kazmaier ,  Sarah Menard

    IPC: G06F16/2455 ,  G06N20/00

    Abstract: A method may include generating, based on text associated with an interaction between a user and an application, a query corresponding to an intent of the interaction. The query may be generated by applying one or more machine learning models trained to determine the intent of the interaction and to generate the query by mapping, to a corresponding slot in a template query, one or more named entities included in the first text. The query may be sent to an analytics engine not associated with the application to retrieve, from a database associated with the analytics engine, data relevant to the interaction between the user and the application. A data presentation providing a visual representation of the data retrieved from the database may be generated for display at a client associated with the user. Related systems and articles of manufacture are also provided.

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