首页> 外国专利> SYSTEM AND METHOD ASSOCIATED WITH GENERATING AN INTERACTIVE VISUALIZATION OF STRUCTURAL CAUSAL MODELS USED IN ANALYTICS OF DATA ASSOCIATED WITH STATIC OR TEMPORAL PHENOMENA

SYSTEM AND METHOD ASSOCIATED WITH GENERATING AN INTERACTIVE VISUALIZATION OF STRUCTURAL CAUSAL MODELS USED IN ANALYTICS OF DATA ASSOCIATED WITH STATIC OR TEMPORAL PHENOMENA

机译:与生成静态或时间现象相关的数据分析中使用的结构因果模型的交互可视化的系统和方法

摘要

A system and method associated with generating an interactive visualization of causal models used in analytics of data is disclosed. The system performs various operations that include receiving time series data in the analytics of time-based phenomena associated with a data set. The system generates a visual representation to specify an effect associated with a causal relation. A causal hypothesis is determined using at least one of an effect variable and a cause variable associated with the visual representation. Causal events are identified in a new visual representation with a time shift being set. A statistical significance is determined using at least one time window within the new visual representation. An updated visual representation is generated including one or more updated causal models. A corresponding method and computer-readable medium are also disclosed.
机译:公开了与生成用于数据分析的因果模型的交互式可视化相关联的系统和方法。该系统执行各种操作,包括在与数据集相关的基于时间的现象的分析中接收时间序列数据。该系统生成视觉表示以指定与因果关系相关联的效果。使用与视觉表示相关联的效果变量和原因变量中的至少一个来确定因果假设。因果事件以新的视觉表示方式识别,并设置了时间偏移。使用新的视觉表示中的至少一个时间窗口来确定统计显着性。生成包括一个或多个更新的因果模型的更新的视觉表示。还公开了相应的方法和计算机可读介质。

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