CPC G06F 11/004 (2013.01) [G06N 20/00 (2019.01); G06Q 10/0635 (2013.01)] | 20 Claims |
1. A method, comprising:
training a machine learning model based on previously identified valid matches between different phenomena detected in different machine-generated data and corresponding different root cause information technology changes;
receiving via an information technology service management system, a specification of an information technology change detected in the information technology service management system;
analyzing the specification of the information technology change to determine features of the information technology change;
tracking the information technology change in a data structure of tracked information technology changes and their features;
analyzing machine-generated computer log data to identify a change detected in the machine-generated computer log data;
providing to the trained machine learning model the features of the information technology change and features of the identified change in the machine-generated computer log data; and
identifying a match between the information technology change tracked in the data structure among other information technology changes tracked in the data structure and the identified change in the machine-generated computer log data based on a result of the trained machine learning model.
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