: Using data to improve or extend an existing model, such as adding time stamps to predict delays or identifying social networks of resources. Key Takeaways & Learning Path
The material is structured to take a learner from data basics to advanced operational support: Process Mining: Data science in Action - Coursera Process Mining: Data Science in Action
: Comparing existing process models with actual event data to identify deviations, bottlenecks, or compliance issues. : Using data to improve or extend an
Example applications include: analyzing treatment processes in hospitals, improving customer service processes in a multinational, Wil van der Aalst Data Science in Action Second Edition using the Alpha-algorithm or Inductive Miner).
: Automatically learning a process model from raw event data (e.g., using the Alpha-algorithm or Inductive Miner).