International Business Machines Corporation

Ryan A Garrett

Robert J McKeown

Anthony T Brew

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.

Selecting time-series data for information technology (IT) operations analytics anomaly detection

A computer program product is provided and includes a storage medium having program instructions. The program instructions are readable and executable by a processing circuit to cause the processing circuit to determine from historical data which anomaly detectors are associated with key performance indicators (KPIs), to extract descriptors of the first metric group from the KPIs to create a first feature profile thereof, to repeat the determining and the extracting with respect to historical data of second and third metric groups to create second and third feature profiles thereof, respectively, to ascertain which of the second and third feature profiles has a greater correlation to the first feature profile and to rank the second and third feature profiles based on which one has the greater correlation and compare the higher ranked one to future metrics in current or subsequent environments to determine if specific KPIs are likely to produce anomalies.

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Toronto, Canada

Ryan A Garrett