Process Cubes: Slicing, Dicing, Rolling Up and Drilling Down Event Data for Process Mining

Provided by: Eindhoven University of Technology
Topic: Big Data
Format: PDF
Recent breakthroughs in process mining research make it possible to discover, analyze, and improve business processes based on event data. The growth of event data provides many opportunities but also imposes new challenges. Process mining is typically done for an isolated well-defined process in steady-state. However, the boundaries of a process may be fluid and there is a need to continuously view event data from different angles. This paper proposes the notion of process cubes where events and process models are organized using different dimensions.

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