The book and course focus on three main types of process mining that turn "event logs" into actionable insights:
: 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 Process Mining: Data Science in Action
The material is structured to take a learner from data basics to advanced operational support: Process Mining: Data science in Action - Coursera The book and course focus on three main
: Comparing existing process models with actual event data to identify deviations, bottlenecks, or compliance issues. 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).