I understand that this is a popular topic in the field of networking and telecommunication [see https://en.wikipedia.org/wiki/Event_correlation . In my problem context, I have to find correlation between logs generated in a large network, mine patterns, and generate rules to create a filtering mechanism that will identify the root cause of a series of events based on patterns from historical data.
So far the approach that I have taken involves using apriori algorithm to mine patterns of co-occurrences of events in specific time frames.
Would love to know if there are other methods currently being used or under research in this field. Would be great if someone can point me to relevant resources.