Process Mining: Data Science In Action May 2026

: Comparing existing process models with actual event data to identify deviations, bottlenecks, or compliance issues.

: 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

, authored by Wil van der Aalst , is the seminal work that bridges the gap between traditional data mining and business process management (BPM). It serves as both a comprehensive academic textbook and the foundation for the popular Coursera course of the same name. Core Framework: The Three Pillars : Comparing existing process models with actual event