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

, 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 Process Mining: Data Science in Action

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 The material is structured to take a learner

: Automatically learning a process model from raw event data (e.g., using the Alpha-algorithm or Inductive Miner). : Using data to improve or extend an

: 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

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

The book and course focus on three main types of process mining that turn "event logs" into actionable insights: