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This second edition of Wil van der Aalst’s influential work on process mining expands the discussion to encompass data science and big data. It features updates on inductive mining techniques, alignments, an extensive section on software tools, and a new chapter on large-scale process mining. The book is self-contained and spans the entire process-mining spectrum, from discovery to predictive analytics. Part I introduces data science and process mining, while Part II covers essential business process modeling and data mining concepts. Part III emphasizes process discovery as the core task, and Part IV explores conformance checking, along with organizational and temporal perspectives. Part V serves as a practical guide for applying process mining, introducing the widely used open-source tool ProM and various commercial products. Finally, Part VI reflects on the presented material and identifies key open challenges. This comprehensive overview is aimed at business process analysts, consultants, managers, graduate students, and BPM researchers, providing valuable insights into the current state of process mining.
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Process Mining, Wil van der Aalst
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- Année de publication
- 2018
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