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This chapter introduces Predictive Process Monitoring (PPM) within the context of Business Process Management (BPM) and process mining, explaining how it extends these fields by using event data to anticipate future process behavior. It outlines key preliminary concepts such as event traces and logs, prefix logs, process models, and the distinction between supervised and unsupervised learning approaches for prediction. Finally, it provides a helicopter view of PPM, highlighting its role in data-driven BPM and presenting the structure of the book.

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Introduction

  • 章节

  • 发表日期：

    2026年

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  • Chiara Di Francescomarino,
  • Ivan Donadello,
  • Fabrizio Maria Maggi

摘要

This chapter introduces Predictive Process Monitoring (PPM) within the context of Business Process Management (BPM) and process mining, explaining how it extends these fields by using event data to anticipate future process behavior. It outlines key preliminary concepts such as event traces and logs, prefix logs, process models, and the distinction between supervised and unsupervised learning approaches for prediction. Finally, it provides a helicopter view of PPM, highlighting its role in data-driven BPM and presenting the structure of the book.