How to find pattern in sequential data? I have multiple sequential data that lead up to an event. All I want to do if find the equivalent sequential data or a pattern that leads to the event. The data is also multivariate so I want to consider multiple features rather than just a column. Help will be greatly appreciated.
I'm not entirely sure but it looks like sequence labeling might be what you need:


Sequences of varying length 
Supervised: you would need to train a model with a sample of sequences annotated with a label at every step (not sure that this is your use case?)
Can handle any number of features


Conditional Random Fields is the state of the art method, there are many libraries
available.