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    • 6. 发明申请
    • CHARTS IN VIRTUAL ENVIRONMENTS
    • 虚拟环境中的魅力
    • US20100325564A1
    • 2010-12-23
    • US12488314
    • 2009-06-19
    • Vijay MitalDarryl E. RubinBrian C. BeckmanDavid G. Green
    • Vijay MitalDarryl E. RubinBrian C. BeckmanDavid G. Green
    • G06F3/048
    • G06F3/04815G06T11/206
    • The application of chart data to a virtual space. The chart data is accessed and a virtual space is formulated. The virtual space is a computerized representation of a plurality of spatially interrelated visual items. The chart data is merged with the virtual space. As an example, the chart data might represent spatially significant information. For instance, one data item in the chart data might represent information about a first point or region in the virtual space, another data item in the chart data might represent information about a second point or region in the virtual space, and so forth. Merging of the chart data might involve changing property(s) of corresponding regions of space depending on value(s) of the associated chart data.
    • 将图表数据应用于虚拟空间。 访问图表数据并制定虚拟空间。 虚拟空间是多个空间上相互关联的视觉项目的计算机化表示。 图表数据与虚拟空间合并。 例如,图表数据可能表示空间有意义的信息。 例如,图表数据中的一个数据项可以表示关于虚拟空间中的第一点或区域的信息,图表数据中的另一数据项可以表示关于虚拟空间中的第二点或区域的信息,等等。 图表数据的合并可能涉及根据相关图表数据的值来更改相应的空间区域的属性。
    • 8. 发明申请
    • DATA-DRIVEN VISUALIZATION TRANSFORMATION
    • 数据驱动可视化转换
    • US20100324867A1
    • 2010-12-23
    • US12488247
    • 2009-06-19
    • Vijay MitalDarryl E. RubinDavid G. Green
    • Vijay MitalDarryl E. RubinDavid G. Green
    • G06F17/50
    • G06F17/50
    • The rendering of sequential data-driven scenes. Each data-driven scene is constructed using a plurality of view components, each receiving data into its input parameters, and using construction logic to formulate a rendering of corresponding visual item(s). When a transition even is detected, the data-driven scene changes from one scene to the next. For instance, the transition might occur by changing any one or more of the following: changing the data that is applied to the view components, 2) changing the set of view components, 3) changing the dimension set, or 4) changing one or more geometries used to construct the scene. Thus, data-driven scenes may be presented sequentially.
    • 顺序数据驱动场景的呈现。 每个数据驱动场景使用多个视图组件来构造,每个视图组件将数据接收到其输入参数中,并且使用构造逻辑来制定对应视觉项目的渲染。 当检测到转移偶数时,数据驱动的场景从一个场景变为下一个场景。 例如,可以通过更改以下任何一个或多个来实现转换:更改应用于视图组件的数据,2)更改视图组件集,3)更改尺寸集,或4)更改一个或 用于构建场景的更多几何形状。 因此,可以顺序呈现数据驱动的场景。
    • 9. 发明授权
    • Presaging and surfacing interactivity within data visualizations
    • 数据可视化中的预览和表面交互
    • US09330503B2
    • 2016-05-03
    • US12488213
    • 2009-06-19
    • Vijay MitalDarryl E. RubinJason A. WolfJohn A. PayneDavid G. Green
    • Vijay MitalDarryl E. RubinJason A. WolfJohn A. PayneDavid G. Green
    • G06F3/048G06T19/20G06F3/0481
    • G06T19/20G06F3/04815
    • The use of visual cues associated with rendered visual items to cue a user on whether a rendered visual item has interactive capability and/or what type of interaction is possible with that visual item. The visual items may be rendered in a data driven way with each constructed using a corresponding parameterized view component. The parameter(s) are populated by data, perhaps by model variables obtained from an analytical model. The parameters then drive logic associated with the view component to thereby construct a visual item which may then be rendered. The rendering engine then renders the visual item with the visual cue. The user may then interact with the rendered visual item. Such interaction might cause some external action to occur, might change which visual items are displayed, and/or might change a value of the input parameters of one or more view components used to generate displayed visual items.
    • 使用与呈现的视觉项目相关联的视觉提示来向用户提示呈现的可视项目是否具有交互能力和/或与该视觉项目有可能的什么类型的交互。 可视化项目可以以数据驱动的方式呈现,每个构造使用相应的参数化视图组件。 参数可以由数据填充,也许是通过从分析模型获得的模型变量。 参数然后驱动与视图组件相关联的逻辑,从而构建可以呈现的视觉项目。 然后渲染引擎使用视觉提示呈现视觉项目。 用户然后可以与呈现的视觉项目进行交互。 这种交互可能导致发生一些外部动作,可能会改变显示哪些视觉项目,和/或可能会更改用于生成显示的视觉项目的一个或多个视图组件的输入参数的值。
    • 10. 发明授权
    • Use of taxonomized analytics reference model
    • 使用分类分析参考模型
    • US08155931B2
    • 2012-04-10
    • US12324462
    • 2008-11-26
    • Darryl E. RubinVijay MitalDavid G. Green
    • Darryl E. RubinVijay MitalDavid G. Green
    • G06F17/50G06F9/445G06N5/00
    • G06F8/10
    • The composition of a data-driven analytics model that includes at least an analytical modeling component that defines analytical relationships between the model parameters using multiple analytical relations. The analytical modeling component uses the analytical relations to identify which of the model parameters are known and which are unknown, and solves for the identified unknown model parameter(s). The analytics modeling component also includes an analytics taxonomy in which the analytical relations are categorized into related analytics categories. Navigation through the analytics taxonomy assists in the composition of an analytics model. The analytics taxonomy may, but need not, be domain specific.
    • 数据驱动分析模型的组成,至少包括一个使用多个分析关系定义模型参数之间分析关系的分析建模组件。 分析建模组件使用分析关系来识别哪些模型参数是已知的,哪些是未知的,并且解决所识别的未知模型参数。 分析建模组件还包括分析关系分类到相关分析类别的分析分类。 通过分析分类法进行导航有助于分析模型的组合。 分析分类可能但不一定是域特定的。