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Everything about Process mining

Data mining technique using event logs

Process mining is a family of techniques for analyzing event data to understand and improve operational processes. Part of the fields of data science and process management, process mining is generally built on logs that contain case id, a unique identifier for a particular process instance; an activity, a description of the event that is occurring; a timestamp; and sometimes other information such as resources, costs, and so on. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Process miningA 5-minute orientation
  2. Skim a recent paper: Creating business value with process miningInfluential work since 2022
  3. Pick up a classic book: Artificial Intelligence Applications and InnovationsThe most-reprinted book on the subject
  4. Read the landmark paper: Process mining: a research agendaCited 449 times
  5. Go sideways: Business process discoveryA closely related topic
  6. Go sideways: Wil van der AalstA closely related topic

📖 Definitions

Noun A family of techniques relating the fields of data science and process management to support the analysis of operational processes based on event logs.

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics