Table of contents

  1. Front Matter
    Pages I-XVI
  2. Wil M. P. van der Aalst
    Pages 1-25
  3. Preliminaries

    1. Front Matter
      Pages 27-28
    2. Wil M. P. van der Aalst
      Pages 29-57
    3. Wil M. P. van der Aalst
      Pages 59-91
  4. From Event Logs to Process Models

    1. Front Matter
      Pages 93-94
    2. Wil M. P. van der Aalst
      Pages 95-123
    3. Wil M. P. van der Aalst
      Pages 125-156
    4. Wil M. P. van der Aalst
      Pages 157-187
  5. Beyond Process Discovery

    1. Front Matter
      Pages 189-190
    2. Wil M. P. van der Aalst
      Pages 191-213
    3. Wil M. P. van der Aalst
      Pages 215-240
    4. Wil M. P. van der Aalst
      Pages 241-258
  6. Putting Process Mining to Work

    1. Front Matter
      Pages 259-260
    2. Wil M. P. van der Aalst
      Pages 261-275
    3. Wil M. P. van der Aalst
      Pages 277-299
    4. Wil M. P. van der Aalst
      Pages 301-317
  7. Reflection

    1. Front Matter
      Pages 319-320
    2. Wil M. P. van der Aalst
      Pages 321-335
    3. Wil M. P. van der Aalst
      Pages 337-340

About this book

Introduction

More and more information about business processes is recorded by information systems in the form of so-called “event logs”. Despite the omnipresence of such data, most organizations diagnose problems based on fiction rather than facts. Process mining is an emerging discipline based on process model-driven approaches and data mining. It not only allows organizations to fully benefit from the information stored in their systems, but it can also be used to check the conformance of processes, detect bottlenecks, and predict execution problems.

Wil van der Aalst delivers the first book on process mining. It aims to be self-contained while covering the entire process mining spectrum from process discovery to operational support. In Part I, the author provides the basics of business process modeling and data mining necessary to understand the remainder of the book. Part II focuses on process discovery as the most important process mining task. Part III moves beyond discovering the control flow of processes and highlights conformance checking, and organizational and time perspectives. Part IV guides the reader in successfully applying process mining in practice, including an introduction to the widely used open-source tool ProM. Finally, Part V takes a step back, reflecting on the material presented and the key open challenges.

Overall, this book provides a comprehensive overview of the state of the art in process mining. It is intended for business process analysts, business consultants, process managers, graduate students, and BPM researchers.

Keywords

Business Information Systems Business Intelligence Business Process Management Data Mining Workflow Management

Authors and affiliations

  • Wil M. P. van der Aalst
    • 1
  1. 1.Dept. Mathematics & Computer ScienceEindhoven University of TechnologyEindhovenNetherlands

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-19345-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-19344-6
  • Online ISBN 978-3-642-19345-3
  • About this book