I have an event log which contains multiple processes in sequential manner. What are the algorithms I can use to obtain the start and end markers in the log. Currently I am using a probabilistic method, calculating the probability of one event occuring after another, and according to those values, I am deciding whether they are of the same process or not. The log has lot of noise, hence my current method isn't working really well. So, I want to explore other ways of tackling this problem. I can't make any assumptions on the log except that it's sequential.
Unsupervised labelling of event logs
data mining;predictive modeling;sequential pattern mining