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Cognitive user interface for technical issue detection by process behavior analysis for information technology service workloads

机译:认知用户界面有关信息技术服务工作负载的过程行为分析的技术问题检测

摘要

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.
机译:本发明的各方面包括使用处理器接收性能指示符的多个值。 使用处理器执行对性能指示符的多个值的统计分析,以检测性能指示符的多个值中的异常模式。 关于检测到的异常模式的警告消息被发送到由培训的机器学习模型选择的警报收件人,以至少部分地基于检测到的异常模式来识别警报收件人。 有关警告消息的反馈从警报收件人收到。 反馈包括警报收件人在接收关于检测到的异常模式的警告消息时的兴趣。 至少部分地基于反馈更新机器学习模型。

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