Data-Driven Process Discovery and Analysis

7th IFIP WG 2.6 International Symposium, SIMPDA 2017, Neuchatel, Switzerland, December 6-8, 2017, Revised Selected Papers

  • Paolo Ceravolo
  • Maurice van Keulen
  • Kilian Stoffel
Conference proceedings SIMPDA 2017

Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 340)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Sebastian Steinau, Kevin Andrews, Manfred Reichert
    Pages 25-44
  3. G. Leonardi, M. Striani, S. Quaglini, A. Cavallini, S. Montani
    Pages 45-64
  4. Laura Genga, Niek Tax, Nicola Zannone
    Pages 65-88
  5. Antonia Azzini, Stefania Marrara, Andrea Maurino, Amir Topalović
    Pages 105-127
  6. Back Matter
    Pages 129-129

About these proceedings


This book constitutes the revised selected papers from the 7th IFIP WG 2.6 International Symposium  on Data-Driven Process Discovery and Analysis, SIMPDA 2017, held in Neuchatel, Switzerland, in December 2017.
The 6 papers presented in this volume were carefully reviewed and selected from 19 submissions. They cover theoretical issues related to process representation, discovery, and analysis or provide practical and operational examples of their application.


BPM Business Process Management Data Mining Process Analysis Process Mining

Editors and affiliations

  1. 1.Università degli Studi di MilanoCremaItaly
  2. 2.University of TwenteEnschedeThe Netherlands
  3. 3.IMIUniversity of NeuchâtelNeuchâtelSwitzerland

Bibliographic information

  • DOI
  • Copyright Information IFIP International Federation for Information Processing 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-11637-8
  • Online ISBN 978-3-030-11638-5
  • Series Print ISSN 1865-1348
  • Series Online ISSN 1865-1356
  • Buy this book on publisher's site
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