Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives data from a set of data sources. Based on the data, the program further generates a time series data set that includes a plurality of data points. The program also determines a set of subsets of data points from the time series data set. The program further groups the set of subsets of data points into a set of clusters. The program also provides the set of clusters as input to a machine learning model to cause the machine learning model to determine a probability of an occurrence of an event based on the set of clusters.