Invention Grant
US09244887B2 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
- Patent Title: Computer-implemented systems and methods for efficient structuring of time series data
- Patent Title (中): 计算机实现的系统和方法,用于有效地构建时间序列数据
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Application No.: US13548282Application Date: 2012-07-13
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Publication No.: US09244887B2Publication Date: 2016-01-26
- Inventor: Michael James Leonard , Keith Eugene Crowe , Stacey M. Christian , Jennifer Leigh Sloan Beeman , David Bruce Elsheimer , Edward Tilden Blair
- Applicant: Michael James Leonard , Keith Eugene Crowe , Stacey M. Christian , Jennifer Leigh Sloan Beeman , David Bruce Elsheimer , Edward Tilden Blair
- Applicant Address: US NC Cary
- Assignee: SAS Institute Inc.
- Current Assignee: SAS Institute Inc.
- Current Assignee Address: US NC Cary
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G06F17/18
- IPC: G06F17/18 ; G06F7/00 ; G06F17/30 ; G06Q10/04 ; G06F11/34

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.
Public/Granted literature
- US20140019448A1 Computer-Implemented Systems and Methods for Efficient Structuring of Time Series Data Public/Granted day:2014-01-16
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