STRUCTURAL AND TEMPORAL SEMANTICS HETEROGENEOUS INFORMATION NETWORK (HIN) FOR PROCESS TRACE CLUSTERING

A method of generating process trace clusters includes receiving a set of process traces, where a process trace is an application level event log from a computer system; receiving an identification of node types and edge types of the application event log to generate a heterogeneous information network (HIN) graph, where a temporal node type value is a difference between a current system time and a reference timestamp divided by a user chosen time granularity parameter, performing dimension reduction of the HIN to generate clusters of new event types, generating a set of meta-paths that connect nodes of a same reduced event type in the application event log, calculating similarities between process traces using the new event type clusters, and clustering the set of process traces to generate a plurality of disjoint graph models of processes in the application event log based on the clusters of new event types.