The basic idea of process mining is to extract knowledge from event logs recorded by an information system. Until recently, the information in these event logs was rarely used to analyze the underlying processes. Process mining aims at improving this by providing techniques and tools for discovering process, control, data, organizational, and social structures from event logs. Process mining is useful for several reasons. It can be used as a tool to find out how people and/or procedures really work, i.e., process discovery. However, it can also be used to do Delta analysis (e.g., comparing an SAP reference model with an actual event log) or performance analysis. This chapter introduces the concept of process mining and describes one of the techniques in more detail.
Stored only when both papers are in the corpus — 35 citations exist upstream.
Imported from OpenAlex (CC0) — nothing here is generated.