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    • 1. 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。
    • 2. 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。
    • 3. 发明申请
    • USE OF TAXONOMIZED ANALYTICS REFERENCE MODEL
    • 使用分子量分析参考模型
    • US20100131254A1
    • 2010-05-27
    • US12324462
    • 2008-11-26
    • Darryl E. RubinVijay MitalDavid G. Green
    • Darryl E. RubinVijay MitalDavid G. Green
    • G06G7/48G06F17/50
    • 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。
    • 4. 发明授权
    • Creating new charts and data visualizations
    • 创建新的图表和数据可视化
    • US08493406B2
    • 2013-07-23
    • US12488295
    • 2009-06-19
    • Darryl E. RubinVijay MitalDavid G. GreenJason A. WolfJohn A. Payne
    • Darryl E. RubinVijay MitalDavid G. GreenJason A. WolfJohn A. Payne
    • G09G5/00
    • G06Q10/04G06Q10/06
    • The rendering on a user interface of a potentially complex computerized scene generation system. The user interface includes visual item(s) that have associated data. In addition, another set of visual items may be driven by data provided to input parameters, and may represent elements in the scene. Through user gestures, a user may correlate data items in the data source visual items with the element visual items to thereby automatically populate the element visual items with data, affecting the rendering of the data-driven element visual items. The element visual items might be linked, once again, perhaps through user gestures, to a parent visual item. In so doing, properties of the parent visual item might change and/or input parameters of the element visual items might change. Accordingly, complex visual scenes may be created through potentially quite simple user gestures.
    • 在可能复杂的计算机化场景生成系统的用户界面上呈现。 用户界面包括具有关联数据的视觉项目。 此外,另一组视觉项目可以由提供给输入参数的数据驱动,并且可以表示场景中的元素。 通过用户手势,用户可以将数据源视觉​​项目中的数据项与元素视觉项目相关联,从而用数据自动填充元素视觉项目,影响数据驱动元素可视项目的呈现。 元素可视化项目可能再次通过用户手势链接到父视觉项目。 在这样做时,父视觉项目的属性可能会更改和/或输入元素视觉项目的参数可能会更改。 因此,可以通过潜在的非常简单的用户手势来创建复杂的视觉场景。
    • 5. 发明授权
    • Search and exploration using analytics reference model
    • 使用分析参考模型进行搜索和探索
    • US08145615B2
    • 2012-03-27
    • US12324480
    • 2008-11-26
    • Vijay MitalDavid G. GreenDarryl E. Rubin
    • Vijay MitalDavid G. GreenDarryl E. Rubin
    • G06F17/30
    • G06F17/30241
    • Searching and exploration using a data-driven analytics model. The analytics model includes an analytical modeling component that defines analytical relationships between model variables using a number of analytical relations. In response to a search request, the output variable(s) of the solve operation are identified. The output variable(s) may have even been identified based on the search request. The analytical relations of the model may then be used to solve for the identified output variable(s). The resulting value(s) for the now solved-for output variable(s) may then be used to formulate the response to the search request. The nature of the response may vary depending on the scope of the application that embodied the search request capability. The results of the search request may be used for further exploration of the model by, for example, submitting follow-up search requests, resulting in follow-up solve operations.
    • 使用数据驱动的分析模型进行搜索和探索。 分析模型包括使用多个分析关系定义模型变量之间的分析关系的分析建模组件。 响应于搜索请求,识别求解操作的输出变量。 输出变量甚至可以基于搜索请求被识别。 然后可以使用模型的分析关系来解决所识别的输出变量。 然后可以使用现在求解的输出变量的结果值来形成对搜索请求的响应。 响应的性质可以根据体现搜索请求能力的应用的范围而变化。 搜索请求的结果可以用于通过例如提交后续搜索请求来进一步探索模型,从而导致后续解决操作。
    • 9. 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。