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1.发明申请Computer-Implemented Systems and Methods for Efficient Structuring of Time Series Data 有权计算机实现的系统和时间序列数据有效结构的方法公开(公告)号：US20140019448A1
公开(公告)日：2014-01-16
申请号：US13548282
申请日：2012-07-13
Applicant: Michael James Leonard , Keith Eugene Crowe , Stacey M. Christian , Jennifer Leigh Sloan Beeman , David Bruce Elsheimer , Edward Tilden Blair
Inventor： Michael James Leonard , Keith Eugene Crowe , Stacey M. Christian , Jennifer Leigh Sloan Beeman , David Bruce Elsheimer , Edward Tilden Blair
IPC: G06F17/30
CPC classification number: G06F17/18 , G06F11/3452 , G06F17/30569 , G06Q10/04
Abstract: Systems and methods are provided for analyzing through one-pass of unstructured time stamped data of a physical process. A distribution of time-stamped unstructured data is analyzed to identify a plurality of potential hierarchical structures for the unstructured data. A hierarchical analysis of the potential hierarchical structures is performed to determine an optimal frequency and a data sufficiency metric for the potential hierarchical structures. One of the potential hierarchical structures is selected as a selected hierarchical structure based on the data sufficiency metrics. The unstructured data is structured according to the selected hierarchical structure and the optimal frequency associated with the selected hierarchical structure, where said structuring of the unstructured data is performed via a single pass though the unstructured data. The identified statistical analysis of the physical process is performed using the structured data.
Abstract translation: 提供了系统和方法，用于通过一次通过物理过程的非结构化时间戳数据进行分析。 分析时间戳非结构化数据的分布，以识别非结构化数据的多个潜在分层结构。 执行潜在层级结构的层次分析以确定潜在分层结构的最佳频率和数据足够度量。 基于数据足够度量，将潜在的层次结构中的一个选择为选定的层次结构。 非结构化数据根据所选择的层次结构和与所选择的层次结构相关联的最佳频率来构造，其中所述非结构化数据的构造通过非结构化数据通过单次执行。 物理过程的识别统计分析使用结构化数据进行。
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2.发明授权Computer-implemented systems and methods for efficient structuring of time series data 有权计算机实现的系统和方法，用于有效地构建时间序列数据公开(公告)号：US09244887B2
公开(公告)日：2016-01-26
申请号：US13548282
申请日：2012-07-13
Applicant: Michael James Leonard , Keith Eugene Crowe , Stacey M. Christian , Jennifer Leigh Sloan Beeman , David Bruce Elsheimer , Edward Tilden Blair
Inventor： Michael James Leonard , Keith Eugene Crowe , Stacey M. Christian , Jennifer Leigh Sloan Beeman , David Bruce Elsheimer , Edward Tilden Blair
CPC classification number: G06F17/18 , G06F11/3452 , G06F17/30569 , G06Q10/04
Abstract: Systems and methods are provided for analyzing through one-pass of unstructured time stamped data of a physical process. A distribution of time-stamped unstructured data is analyzed to identify a plurality of potential hierarchical structures for the unstructured data. A hierarchical analysis of the potential hierarchical structures is performed to determine an optimal frequency and a data sufficiency metric for the potential hierarchical structures. One of the potential hierarchical structures is selected as a selected hierarchical structure based on the data sufficiency metrics. The unstructured data is structured according to the selected hierarchical structure and the optimal frequency associated with the selected hierarchical structure, where said structuring of the unstructured data is performed via a single pass though the unstructured data. The identified statistical analysis of the physical process is performed using the structured data.
Abstract translation: 提供了系统和方法，用于通过一次通过物理过程的非结构化时间戳数据进行分析。 分析时间戳非结构化数据的分布，以识别非结构化数据的多个潜在分层结构。 执行潜在层级结构的层次分析以确定潜在分层结构的最佳频率和数据足够度量。 基于数据足够度量，将潜在的层次结构中的一个选择为选定的层次结构。 非结构化数据根据所选择的层次结构和与所选择的层次结构相关联的最佳频率来构造，其中所述非结构化数据的构造通过非结构化数据通过单次执行。 物理过程的识别统计分析使用结构化数据进行。
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