An Activity Instance Based Hierarchical Framework for Event Abstraction
Chiao-Yun Li, Sebastiaan J. van Zelst and Wil van der Aalst
Process mining allows one to analyze and extract knowledge from event data, i.e., records of process executions stored in information systems. Most process mining techniques are directly applied to the data as recorded in the system. Applying automated process discovery techniques, i.e., a core process mining technology, directly on such data yields complex process models describing millions of different execution paths. Other techniques applied to such discovered process models and system-level data, e.g., Read more