Cognitive user interface for technical issue detection by process behavior analysis for information technology service workloads
US11222296B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 28, 2018 |
| Grant date | Jan 11, 2022 |
| Priority date | — |
| Expiry date | Jan 19, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/5009
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Aspects of the invention include receiving, using a processor, a plurality of values of a performance indicator. A statistical analysis of the plurality of values of the performance indicator is performed, using the processor, to detect an anomaly pattern in the plurality of values of the performance indicator. A warning message about the detected anomaly pattern is sent to an alert recipient that is selected by a machine learning model trained to identify alert recipients based at least in part on detected anomaly patterns. Feedback about the warning message is received from the alert recipient. The feedback includes an interest of the alert recipient in receiving warning messages about the detected anomaly pattern. The machine learning model is updated based at least in part on the feedback.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.