Process Discovery (EN)
ConceptInvestigation of event data to identify unknown process models
Process Discovery
Process Discovery is a method for investigating event data to identify and visualize unknown or implicit process models. Unlike other approaches, Process Discovery does not make predefined assumptions about the process flow, but derives the model directly from the data. In the module, Process Discovery is performed among other things with the Alpha-Algorithm and the HeuristicsMiner to identify basic process models and complex dependencies between activities. This technique is particularly valuable when the actual process flow is not documented or only incompletely documented.
Process Flow Example
flowchart TD A[Event Collection] --> B[Data Cleaning] B --> C[Alpha-Algorithm] C --> D[HeuristicsMiner] D --> E[Model Validation] E --> F[Process Visualization] F --> G[Optimization Suggestions]
In Context
- Typically used together with Process Mining and Conformance Checking
- Related to: Process Mining, Business Process Intelligence, Event-Driven Process Chains
- Example use: Analysis of IT logs to reconstruct actual business processes