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    • 55. 发明授权
    • Assisted filtering of multi-dimensional data
    • 辅助过滤多维数据
    • US08965907B2
    • 2015-02-24
    • US12819493
    • 2010-06-21
    • Vijay MitalBrian C. BeckmanJason A. WolfJanine CrumbDarryl Ellis RubinOlivier Colle
    • Vijay MitalBrian C. BeckmanJason A. WolfJanine CrumbDarryl Ellis RubinOlivier Colle
    • G06F17/00G06F17/30
    • G06F17/30592G06F17/30489G06F17/30572
    • Interactive and dynamic exploring of filter criteria for large amounts of numerical data having multiple dimensions is described. Exploration occurs without excessive amounts of computation or querying of a database based on a data set summary that may be obtained from a server in a search system and applied by a client device. A data set is summarized so as to capture relationships between distributions of items in the data set along multiple dimensions. To explore filter criteria, a user may interactively adjust a range of values that act as a filter criteria along a dimension and determine an effect on a distribution of items along another dimension. The client device may apply the data summary in reverse to determine, based on user input specifying aspects of a distribution along one dimension, filter criteria for another dimension that would result in the specified distribution.
    • 描述了具有多个维度的大量数值数据的过滤器标准的交互和动态探索。 基于可以从搜索系统中的服务器获得并由客户端设备应用的数据集摘要,发现没有过多的计算或查询数据库的探索。 总结数据集,以便捕获沿着多维的数据集中的项目的分布之间的关系。 为了探索过滤标准,用户可以交互地调整一系列值,这些值作为沿尺寸的过滤标准,并确定对另一维的物品分布的影响。 客户端设备可以相反地应用数据摘要,以基于指定沿着一个维度的分布的方面的用户输入来确定导致指定分布的另一个维度的过滤标准。
    • 58. 发明授权
    • Analytical model solver framework
    • 分析模型求解器框架
    • US08117145B2
    • 2012-02-14
    • US12163949
    • 2008-06-27
    • Darryl E. RubinVijay MitalBrian C. Beckman
    • Darryl E. RubinVijay MitalBrian C. Beckman
    • G06F17/00G06N5/02
    • G06F17/50
    • A solver framework for use with an analytical model. The analytical model includes multiple model parameters and includes definitions for analytical relationships between the model parameters. The solver framework coordinates the processing of multiple specialized solvers. In particular, the solver framework identifies which model parameters are input model variables and which are output model variables. The solver framework then analyzes dependencies to determine a solve order to solve for the output model variables. The solver framework then charged the specialized solvers with performing portions of the solve operation such that the specialized solvers solve for the output model variables in an order which considers the dependencies. In one embodiment, additional or replacement solvers may register with the solver framework to thereby make the specialized solver available for solving for output model variables in the future.
    • 用于分析模型的求解器框架。 分析模型包括多个模型参数,并包括模型参数之间分析关系的定义。 求解器框架协调多个专门求解器的处理。 特别地,求解器框架识别哪些模型参数是输入模型变量,哪些是输出模型变量。 求解器框架然后分析依赖关系以确定求解输出模型变量的求解顺序。 解算器框架然后对执行解决操作的部分的特殊求解器进行计费,使得专门的解算器以考虑依赖性的顺序解决输出模型变量。 在一个实施例中,附加或替换求解器可以向求解器框架注册,从而使得专用求解器可用于在将来解决输出模型变量。
    • 60. 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。