Invention Grant
- Patent Title: Selecting time-series data for information technology (IT) operations analytics anomaly detection
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Application No.: US14862395Application Date: 2015-09-23
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Publication No.: US10587487B2Publication Date: 2020-03-10
- Inventor: Ryan A. Garrett , Robert J. McKeown
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Cantor Colburn LLP
- Agent Alexander Jochym
- Main IPC: G06F15/16
- IPC: G06F15/16 ; H04L12/26 ; H04L12/24

Abstract:
A computer program product for selecting time-series data is provided. The computer program product includes a computer readable storage medium having program instructions embodied therewith. The program instructions are readable and executable by a processing circuit to cause the processing circuit to assemble, by the processing circuit, a set of analytic assessment tools for time-series data, engage, by the processing circuit, the analytic assessment tools to measure characteristics-of-importance in a relevant analytic domain for sets of the time-series data, generate, by the processing circuit, as a measurement result, a score for each set of the time-series data based on the associated characteristics-of-importance and rank, by the processing circuit, the sets of the time-series data in accordance with the score for each set of the time-series data for subsequent time-series data selection.
Public/Granted literature
- US20170085448A1 SELECTING TIME-SERIES DATA FOR INFORMATION TECHNOLOGY (IT) OPERATIONS ANALYTICS ANOMALY DETECTION Public/Granted day:2017-03-23
Information query