TELEMETRY DATA CONTEXTUALIZED ACROSS DATASETS
First Claim
1. A method of correlating data elements among telemetry datasets, the method comprising:
- obtaining an indication of a data selection defining at least one data entry of interest among datasets that comprise data entries determined by one or more associated telemetry elements;
establishing a joined dataset based at least on contextually corresponding characteristics derived from the datasets;
processing the joined dataset with a plurality of adaptive functions to correlate data entries of the joined dataset to the data selection, with each of the plurality of adaptive functions configured to produce an associated correlation dataset comprising data entries potentially related to the data selection; and
evaluating each associated correlation dataset to select an output dataset comprising contextual data entries related to the data selection.
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Accused Products
Abstract
Systems, methods, and software for telemetry event correlation is provided herein. An exemplary method includes obtaining an indication of a data selection defining at least one data entry of interest among datasets that comprise data entries determined by one or more associated telemetry elements, establishing a joined dataset based at least on contextually corresponding characteristics derived from the datasets, and processing the joined dataset with a plurality of adaptive functions to correlate data entries of the joined dataset to the data selection, with each of the plurality of adaptive functions configured to produce an associated correlation dataset comprising data entries potentially related to the data selection. The method also includes evaluating each associated correlation dataset to select an output dataset comprising contextual data entries related to the data selection.
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Citations
20 Claims
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1. A method of correlating data elements among telemetry datasets, the method comprising:
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obtaining an indication of a data selection defining at least one data entry of interest among datasets that comprise data entries determined by one or more associated telemetry elements; establishing a joined dataset based at least on contextually corresponding characteristics derived from the datasets; processing the joined dataset with a plurality of adaptive functions to correlate data entries of the joined dataset to the data selection, with each of the plurality of adaptive functions configured to produce an associated correlation dataset comprising data entries potentially related to the data selection; and evaluating each associated correlation dataset to select an output dataset comprising contextual data entries related to the data selection. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. An apparatus comprising:
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one or more computer readable storage media; program instructions stored on the one or more computer readable storage media that, when executed by a processing system, direct the processing system to at least; obtain an indication of a data selection defining at least one data entry of interest among datasets that comprise data entries determined by one or more associated telemetry elements; establish a joined dataset based at least on contextually corresponding characteristics derived from the datasets; process the joined dataset with a plurality of adaptive functions to correlate data entries of the joined dataset to the data selection, with each of the plurality of adaptive functions configured to produce an associated correlation dataset comprising data entries potentially related to the data selection; and evaluate each associated correlation dataset to select an output dataset comprising contextual data entries related to the data selection. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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19. A method of operating a telemetry data processing system, the method comprising:
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receiving an indication of event of interest that is included among datasets comprising operational events determined by one or more associated telemetry elements; establishing a joined dataset from at least portions of the datasets that include a timeframe of the event of interest; processing the joined dataset with a plurality of machine learning algorithms to correlate events of the joined dataset to the event of interest, with each of the plurality of machine learning algorithms configured to produce an associated dataset comprising data entries potentially related to the event of interest; and evaluating each associated dataset to select an output dataset comprising contextual data entries accumulated from the datasets that are related to the event of interest. - View Dependent Claims (20)
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Specification