Determine an interval duration and a training period length for log anomaly detection
AssigneeInternational Business Machines Corporation
InventorJames M. Caffrey
Life of this patent
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Abstract
Examples of techniques for determining an interval duration and a training period length for log anomaly detection are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method may include: determining, by a processing resource, an interval duration for a time series from a plurality of message IDs; and determining, by the processing resource, a training period length based on the interval duration.
Claims20
A computer-implemented method for determining an interval duration and a training period length for log anomaly detection, the method comprising:
- determining, by a processing resource, an interval duration for a time series from a plurality of message IDs;
- and
- determining, by the processing resource, a training period length based on the interval duration.
A system for determining an interval duration and a training period length for log anomaly detection, the system comprising:
- a memory having computer readable instructions;
- and
- a processing device for executing the computer readable instructions, the computer readable instructions comprising:
- determining an interval duration for a time series from a plurality of message IDs;
- and
- determining a training period length based on the interval duration.
A computer program product for determining an interval duration and a training period length for log anomaly detection, the computer program product comprising:
- a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processing device to cause the processing device to:
- determine an interval duration for a time series from a plurality of message IDs;
- and
- determine a training period length based on the interval duration.
Dependencies are inferred from the claim text.