Process Mining: Data Science In Action (ORIGINAL – PICK)
: 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
: Automatically learning a process model from raw event data (e.g., using the Alpha-algorithm or Inductive Miner). 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
The book and course focus on three main types of process mining that turn "event logs" into actionable insights: 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
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This post really made me reflect on the complexities of scorn and its impact on our relationships. I appreciate how you explored the nuanced art behind it. It’s a reminder that our thoughts and feelings are often more intricate than they appear at first glance. Excited to read more!