Computer-implemented systems and methods for time series exploration
First Claim
1. A computer-implemented method of analyzing unstructured time stamped data of a physical process in order to generate structured hierarchical data for a hierarchical time series analysis application, said method comprising:
- selecting, using one or more data processors, a plurality of time series analysis functions from a functions repository;
analyzing, using the one or more data processors, distributions of time stamped unstructured data to identify a plurality of potential hierarchical structures for the unstructured data with respect to the selected time series analysis functions;
providing, using the one or more data processors, different recommendations for the potential hierarchical structures for each of the selected time series analysis functions, wherein the selected time series analysis functions affect what types of recommendations are to be provided; and
structuring, using the one or more data processors, the unstructured data into a hierarchical structure according to one or more of the recommended hierarchical structures, wherein the structured hierarchical data is provided to an application for analysis using one or more of the selected time series analysis functions.
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Abstract
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.
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Citations
22 Claims
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1. A computer-implemented method of analyzing unstructured time stamped data of a physical process in order to generate structured hierarchical data for a hierarchical time series analysis application, said method comprising:
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selecting, using one or more data processors, a plurality of time series analysis functions from a functions repository; analyzing, using the one or more data processors, distributions of time stamped unstructured data to identify a plurality of potential hierarchical structures for the unstructured data with respect to the selected time series analysis functions; providing, using the one or more data processors, different recommendations for the potential hierarchical structures for each of the selected time series analysis functions, wherein the selected time series analysis functions affect what types of recommendations are to be provided; and structuring, using the one or more data processors, the unstructured data into a hierarchical structure according to one or more of the recommended hierarchical structures, wherein the structured hierarchical data is provided to an application for analysis using one or more of the selected time series analysis functions. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A system for analyzing unstructured time stamped data of a physical process in order to generate structured hierarchical data for a hierarchical time series analysis application, comprising:
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one or more processors; one or more computer-readable storage mediums containing instructions configured to cause the one or more processors to perform operations including; selecting a plurality of time series analysis functions from a functions repository; analyzing distributions of time stamped unstructured data to identify a plurality of potential hierarchical structures for the unstructured data with respect to the selected time series analysis functions; providing different recommendations for the potential hierarchical structures for each of the selected time series analysis functions, wherein the selected time series analysis functions affect what types of recommendations are to be provided; and structuring the unstructured data into a hierarchical structure according to one or more of the recommended hierarchical structures, wherein the structured hierarchical data is provided to an application for analysis using one or more of the selected time series analysis functions. - View Dependent Claims (15, 16, 17, 18, 19, 20, 21)
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22. A computer program product for analyzing unstructured time stamped data of a physical process in order to generate structured hierarchical data for a hierarchical time series analysis application, tangibly embodied in a machine-readable non-transitory storage medium, including instructions configured to cause a data processing system to:
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select a plurality of time series analysis functions from a functions repository; analyze distributions of time stamped unstructured data to identify a plurality of potential hierarchical structures for the unstructured data with respect to the selected time series analysis functions; provide different recommendations for the potential hierarchical structures for each of the selected time series analysis functions, wherein the selected time series analysis functions affect what types of recommendations are to be provided; and structure the unstructured data into a hierarchical structure according to one or more of the recommended hierarchical structures, wherein the structured hierarchical data is provided to an application for analysis using one or more of the selected time series analysis functions.
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Specification