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1. 发明申请

US20140019448A1 Computer-Implemented Systems and Methods for Efficient Structuring of Time Series Data 有权
标题翻译：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
申请人： Michael James Leonard , Keith Eugene Crowe , Stacey M. Christian , Jennifer Leigh Sloan Beeman , David Bruce Elsheimer , Edward Tilden Blair
发明人： Michael James Leonard , Keith Eugene Crowe , Stacey M. Christian , Jennifer Leigh Sloan Beeman , David Bruce Elsheimer , Edward Tilden Blair
IPC分类号： G06F17/30
CPC分类号： G06F17/18 , G06F11/3452 , G06F17/30569 , G06Q10/04
摘要： 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.
摘要翻译：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。

2. 发明授权

US07711734B2 Systems and methods for mining transactional and time series data 有权
标题翻译：挖掘交易和时间序列数据的系统和方法
公开(公告)号：US07711734B2
公开(公告)日：2010-05-04
申请号：US11696951
申请日：2007-04-05
申请人： Michael James Leonard
发明人： Michael James Leonard
IPC分类号： G06F17/30
CPC分类号： G06Q30/02
摘要： In accordance with the teachings described herein, systems and methods are provided for analyzing transactional data. A similarity analysis program may be used that receives time-series data relating to transactions of an organization and performs a similarity analysis of the time-series data to generate a similarity matrix. A data reduction program may be used that receives the time-series data and performs one or more dimension reduction operations on the time-series data to generate reduced time-series data. A distance analysis program may be used that performs a distance analysis using the similarity matrix and the reduced time-series data to generate a distance matrix. A data analysis program may be used that performs a data analysis operation, such as a data mining operation, using the distance matrix to generate a data mining analysis of the transactional data.
摘要翻译：根据本文所述的教导，提供了用于分析事务数据的系统和方法。可以使用相似度分析程序，其接收与组织的事务相关的时间序列数据，并且执行时间序列数据的相似性分析以生成相似性矩阵。可以使用数据缩减程序，其接收时间序列数据并对时间序列数据执行一个或多个维数减少操作以产生缩短的时间序列数据。可以使用距离分析程序，其使用相似性矩阵和缩短的时间序列数据来执行距离分析以生成距离矩阵。可以使用数据分析程序，其使用距离矩阵来执行诸如数据挖掘操作的数据分析操作以生成事务数据的数据挖掘分析。

3. 发明授权

US09037998B2 Computer-implemented systems and methods for time series exploration using structured judgment 有权
标题翻译：采用结构化判断的计算机实现系统和时间序列的方法
公开(公告)号：US09037998B2
公开(公告)日：2015-05-19
申请号：US13551647
申请日：2012-07-18
申请人： Michael James Leonard , Michael Ryan Chipley , Kshitija Ambulgekar , Sagar Arun Mainkar , Ashwini Bhalchandra Dixit , Sarika Shrotriya , Udo V. Sglavo , Dinesh P. Apte
发明人： Michael James Leonard , Michael Ryan Chipley , Kshitija Ambulgekar , Sagar Arun Mainkar , Ashwini Bhalchandra Dixit , Sarika Shrotriya , Udo V. Sglavo , Dinesh P. Apte
IPC分类号： G06F3/048 , G06Q10/04 , G06F17/30 , G06F17/18 , G06Q30/02
CPC分类号： G06F17/10 , G06F17/18 , G06F17/30716 , G06Q10/04 , G06Q30/02
摘要： Systems and methods are provided for analyzing unstructured time stamped data. A first series of user display screens are provided, where the first series of user display screens are configured to be displayed in a step-wise manner so that a user can specify a first approach through a series of predetermined steps on how the unstructured data is to be structured. A second series of user display screens are provided, where the second series of user display screens are configured to be displayed in a step-wise manner so that the user can specify a second approach through the series of predetermined steps on how the unstructured data is to be structured. Tracking data enables alternate viewing of the first and second approach to facilitate a decision whether to format the unstructured time stamped data according to the first approach or the second approach.
摘要翻译：提供了用于分析非结构化时间戳数据的系统和方法。提供了第一系列用户显示屏幕，其中第一系列用户显示屏幕被配置为以逐步的方式显示，使得用户可以通过一系列预定步骤来指定第一种方式，如何将非结构化数据结构化提供了第二系列的用户显示屏幕，其中第二系列用户显示屏幕被配置为以逐步的方式显示，使得用户可以通过一系列预定步骤来指定第二种方式，如何将非结构化数据结构化跟踪数据使得能够进行第一和第二方法的交替观察以便于根据第一种方法或第二种方法来决定是否格式化非结构化时间戳数据。

4. 发明申请

US20120089609A1 Computer-Implemented Systems And Methods For Forecast Reconciliation 有权
标题翻译：计算机实现的系统和方法进行预测和解
公开(公告)号：US20120089609A1
公开(公告)日：2012-04-12
申请号：US13328811
申请日：2011-12-16
申请人： Michele Angelo Trovero , Mahesh V. Joshi , Michael James Leonard , Richard Patrick Fahey , Dmitry V. Golovashkin
发明人： Michele Angelo Trovero , Mahesh V. Joshi , Michael James Leonard , Richard Patrick Fahey , Dmitry V. Golovashkin
IPC分类号： G06F17/30
CPC分类号： G06Q10/00 , G06Q10/063 , G06Q30/0201 , G06Q30/0202
摘要： Systems and methods for reconciling a forecast for a dimension based upon data that is associated with the dimension. A method can be used that includes generating a plurality of forecasts for the dimensions such that the forecast of a first dimension is generated independently of a forecast of a second dimension. The forecast of the first dimension has a constraint that is influenced by the forecast of the second dimension. A reconciliation is performed between the forecast of the first dimension and the forecast of the second dimension in order to determine how the constraint of the first dimension's forecast is to influence the first dimension's forecast.
摘要翻译：根据与维相关联的数据来调整维度的预测的系统和方法。可以使用一种方法，其包括生成尺寸的多个预测，使得独立于第二维度的预测而生成第一维度的预测。第一维度的预测受到第二维度预测的影响。在第一维度的预测和第二维度的预测之间进行调和，以确定第一维度的预测的约束如何影响第一维度的预测。

5. 发明授权

US09244887B2 Computer-implemented systems and methods for efficient structuring of time series data 有权
标题翻译：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
申请人： Michael James Leonard , Keith Eugene Crowe , Stacey M. Christian , Jennifer Leigh Sloan Beeman , David Bruce Elsheimer , Edward Tilden Blair
发明人： Michael James Leonard , Keith Eugene Crowe , Stacey M. Christian , Jennifer Leigh Sloan Beeman , David Bruce Elsheimer , Edward Tilden Blair
IPC分类号： G06F17/18 , G06F7/00 , G06F17/30 , G06Q10/04 , G06F11/34
CPC分类号： G06F17/18 , G06F11/3452 , G06F17/30569 , G06Q10/04
摘要： 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.
摘要翻译：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。

6. 发明授权

US09087306B2 Computer-implemented systems and methods for time series exploration 有权
标题翻译：用于时间序列探索的计算机实现的系统和方法
公开(公告)号：US09087306B2
公开(公告)日：2015-07-21
申请号：US13548307
申请日：2012-07-13
申请人： Michael James Leonard , Edward Tilden Blair , Jerzy Michal Brzezicki , Udo V. Sglavo , Ranbir Singh Tomar , Kannukuzhiyil Kurien Kurien , Sujatha Pothireddy , Rajib Nath , Vilochan Suresh Muley
发明人： Michael James Leonard , Edward Tilden Blair , Jerzy Michal Brzezicki , Udo V. Sglavo , Ranbir Singh Tomar , Kannukuzhiyil Kurien Kurien , Sujatha Pothireddy , Rajib Nath , Vilochan Suresh Muley
IPC分类号： G06F3/048 , G06Q10/04 , G06F17/30 , G06F17/18 , G06Q30/02
CPC分类号： G06F17/10 , G06F17/18 , G06F17/30716 , G06Q10/04 , G06Q30/02
摘要： Systems and methods are provided for analyzing unstructured time stamped data of a physical process in order to generate structured hierarchical data for a hierarchical time series analysis application. A plurality of time series analysis functions are selected from a functions repository. Distributions of time stamped unstructured data are analyzed to identify a plurality of potential hierarchical structures for the unstructured data with respect to the selected time series analysis functions. Different recommendations for the potential hierarchical structures for each of the selected time series analysis functions are provided, where the selected time series analysis functions affect what types of recommendations are to be provided, and the unstructured data is structured into a hierarchical structure according to one or more of the recommended hierarchical structures, where the structured hierarchical data is provided to an application for analysis using one or more of the selected time series analysis functions.
摘要翻译：提供系统和方法用于分析物理过程的非结构化时间戳数据，以便为分层时间序列分析应用生成结构化层次数据。从功能库中选择多个时间序列分析功能。分析时间戳非结构化数据的分布，以针对所选择的时间序列分析功能识别非结构化数据的多个潜在分层结构。提供了针对每个所选择的时间序列分析功能的潜在层级结构的不同建议，其中所选择的时间序列分析功能影响要提供什么类型的建议，并且非结构化数据被构造成根据一个或多个更多的推荐层次结构，其中使用一个或多个所选择的时间序列分析功能将结构化层级数据提供给应用程序进行分析。

7. 发明申请

US20140019909A1 Computer-Implemented Systems And Methods For Time Series Exploration Using Structured Judgment 有权
标题翻译：计算机实现的系统和时间序列探索的方法使用结构化判断
公开(公告)号：US20140019909A1
公开(公告)日：2014-01-16
申请号：US13551647
申请日：2012-07-18
申请人： Michael James Leonard , Michael Ryan Chipley , Kshitija Ambulgekar , Sagar Arun Mainkar , Ashwini Bhalchandra Dixit , Sarika Shrotriya , Udo V. Sglavo , Dinesh P. Apte
发明人： Michael James Leonard , Michael Ryan Chipley , Kshitija Ambulgekar , Sagar Arun Mainkar , Ashwini Bhalchandra Dixit , Sarika Shrotriya , Udo V. Sglavo , Dinesh P. Apte
IPC分类号： G06F3/048
CPC分类号： G06F17/10 , G06F17/18 , G06F17/30716 , G06Q10/04 , G06Q30/02
摘要： Systems and methods are provided for analyzing unstructured time stamped data. A first series of user display screens are provided, where the first series of user display screens are configured to be displayed in a step-wise manner so that a user can specify a first approach through a series of predetermined steps on how the unstructured data is to be structured. A second series of user display screens are provided, where the second series of user display screens are configured to be displayed in a step-wise manner so that the user can specify a second approach through the series of predetermined steps on how the unstructured data is to be structured. Tracking data enables alternate viewing of the first and second approach to facilitate a decision whether to format the unstructured time stamped data according to the first approach or the second approach.
摘要翻译：提供了用于分析非结构化时间戳数据的系统和方法。提供了第一系列用户显示屏幕，其中第一系列用户显示屏幕被配置为以逐步的方式显示，使得用户可以通过一系列预定步骤来指定第一种方式，如何将非结构化数据结构化提供了第二系列用户显示屏幕，其中第二系列用户显示屏幕被配置为以逐步的方式显示，使得用户可以通过一系列预定步骤来指定第二种方式，以了解非结构化数据是如何结构化跟踪数据使得能够进行第一和第二方法的交替观察以便于根据第一种方法或第二种方法来决定是否格式化非结构化时间戳数据。

8. 发明申请

US20140019088A1 Computer-Implemented Systems and Methods for Time Series Exploration 有权
标题翻译：计算机实施的时间序列探索系统与方法
公开(公告)号：US20140019088A1
公开(公告)日：2014-01-16
申请号：US13548307
申请日：2012-07-13
申请人： Michael James LEONARD , Edward Tilden BLAIR , Jerzy Michal BRZEZICKI , Udo V. SGLAVO , Ranbir Singh TOMAR , Kannukuzhiyil Kurien KURIEN , Sujatha POTHIREDDY , Rajib NATH , Vilochan Suresh MULEY
发明人： Michael James LEONARD , Edward Tilden BLAIR , Jerzy Michal BRZEZICKI , Udo V. SGLAVO , Ranbir Singh TOMAR , Kannukuzhiyil Kurien KURIEN , Sujatha POTHIREDDY , Rajib NATH , Vilochan Suresh MULEY
IPC分类号： G06F15/00 , G06F17/18 , G04F10/00
CPC分类号： G06F17/10 , G06F17/18 , G06F17/30716 , G06Q10/04 , G06Q30/02
摘要： Systems and methods are provided for analyzing unstructured time stamped data of a physical process in order to generate structured hierarchical data for a hierarchical time series analysis application. A plurality of time series analysis functions are selected from a functions repository. Distributions of time stamped unstructured data are analyzed to identify a plurality of potential hierarchical structures for the unstructured data with respect to the selected time series analysis functions. Different recommendations for the potential hierarchical structures for each of the selected time series analysis functions are provided, where the selected time series analysis functions affect what types of recommendations are to be provided, and the unstructured data is structured into a hierarchical structure according to one or more of the recommended hierarchical structures, where the structured hierarchical data is provided to an application for analysis using one or more of the selected time series analysis functions.
摘要翻译：提供系统和方法用于分析物理过程的非结构化时间戳数据，以便为分层时间序列分析应用生成结构化层次数据。从功能库中选择多个时间序列分析功能。分析时间戳非结构化数据的分布，以针对所选择的时间序列分析功能识别非结构化数据的多个潜在分层结构。提供了针对每个所选择的时间序列分析功能的潜在层级结构的不同建议，其中所选择的时间序列分析功能影响要提供什么类型的建议，并且非结构化数据被构造成根据一个或多个更多的推荐层次结构，其中使用一个或多个所选择的时间序列分析功能将结构化层级数据提供给应用程序进行分析。

9. 发明授权

US08364517B2 Computer-implemented systems and methods for forecast reconciliation 有权
标题翻译：计算机实现的预测和解系统和方法
公开(公告)号：US08364517B2
公开(公告)日：2013-01-29
申请号：US13328811
申请日：2011-12-16
申请人： Michele Angelo Trovero , Mahesh V. Joshi , Michael James Leonard , Richard Patrick Fahey , Dmitry V. Golovashkin
发明人： Michele Angelo Trovero , Mahesh V. Joshi , Michael James Leonard , Richard Patrick Fahey , Dmitry V. Golovashkin
IPC分类号： G06Q10/00
CPC分类号： G06Q10/00 , G06Q10/063 , G06Q30/0201 , G06Q30/0202
摘要： Systems and methods for reconciling a forecast are presented. A method can be used that receives a plurality of hierarchical forecast data sets. An output child data set including an index value and a status indicator representing an unprocessed state is generated. A particular parent data set forecast is identified from a parent data set. Locations for a group of one or more child data set forecasts that are children of the particular parent data set forecast are identified and accessed. A reconciliation operation is performed, a particular child data set forecast is adjusted and stored in a record, and a status indicator for the record is modified.
摘要翻译：介绍了调和预报的系统和方法。可以使用接收多个分级预测数据集的方法。生成包括表示未处理状态的索引值和状态指示符的输出子数据集。从父数据集中识别特定的父数据集预测。识别并访问作为特定父数据集预测的子项的一组或多个子数据集预测组的位置。执行协调操作，调整特定的子数据集预测并将其存储在记录中，并修改记录的状态指示符。

10. 发明授权

US08112302B1 Computer-implemented systems and methods for forecast reconciliation 有权
标题翻译：计算机实现的预测和解系统和方法
公开(公告)号：US08112302B1
公开(公告)日：2012-02-07
申请号：US11848982
申请日：2007-08-31
申请人： Michele Angelo Trovero , Mahesh V. Joshi , Michael James Leonard , Richard Patrick Fahey , Dmitry V. Golovashkin
发明人： Michele Angelo Trovero , Mahesh V. Joshi , Michael James Leonard , Richard Patrick Fahey , Dmitry V. Golovashkin
IPC分类号： G06Q10/00
CPC分类号： G06Q10/00 , G06Q10/063 , G06Q30/0201 , G06Q30/0202
摘要： Systems and methods for reconciling a forecast for a dimension based upon data that is associated with the dimension. A method can be used that includes generating a plurality of forecasts for the dimensions such that the forecast of a first dimension is generated independently of a forecast of a second dimension. The forecast of the first dimension has a constraint that is influenced by the forecast of the second dimension. A reconciliation is performed between the forecast of the first dimension and the forecast of the second dimension in order to determine how the constraint of the first dimension's forecast is to influence the first dimension's forecast.
摘要翻译：根据与维相关联的数据来调整维度的预测的系统和方法。可以使用一种方法，其包括生成尺寸的多个预测，使得独立于第二维度的预测而生成第一维度的预测。第一维度的预测受到第二维度预测的影响。在第一维度的预测和第二维度的预测之间进行调和，以确定第一维度的预测的约束如何影响第一维度的预测。

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