How find patterns in categorical data with respect to time?



I have a data set which has error details that have been occurring on a particular application/tool. My problem statement is if i ignore few errors in a particular time frame (say 1hr) it will lead to an incident to the next level. So to avoid this i have to predict based on what patterns in the “Module type” column if we ignore errors , it will lead to an escalation(i.e, incident). To sum up my problem statement, I would like some help on determining which predictive modeling technique suits best to determine the pattern in the modules which is leading to an escalation. Please find attached sample data (420 Bytes)

Technique for predicting categorical variable in a time series data