EVENT MANAGEMENT SYSTEM BASED ON MACHINE LOGIC

Improved techniques of identifying actions to take in response to events involve assigning, to each set of event parameter values which characterizes an event, a set of weight values, each weight value indicative of a probability of the event belonging to a cluster of events which follow a set of rules. To continue the previous example, an event management system may determine the probability of the first event belonging to the first cluster is 51% and that for the first event belonging to the second cluster is 49%, while the probability of the second event belonging to the first cluster is 49% and that for the second event belonging to the second cluster is 51%. In such a case, the event management system can be configured to respond to such similarly configured events in similar ways.