Data-Driven Process Discovery and Analysis

5th IFIP WG 2.6 International Symposium, SIMPDA 2015, Vienna, Austria, December 9-11, 2015, Revised Selected Papers

  • Paolo Ceravolo
  • Stefanie Rinderle-Ma

Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 244)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Saimir Bala, Cristina Cabanillas, Alois Haselböck, Giray Havur, Jan Mendling, Axel Polleres et al.
    Pages 1-27
  3. Alfredo Bolt, Massimiliano de Leoni, Wil M. P. van der Aalst, Pierre Gorissen
    Pages 28-53
  4. B. F. A. Hompes, J. C. A. M. Buijs, Wil M. P. van der Aalst, P. M. Dixit, J. Buurman
    Pages 54-75
  5. P. M. Dixit, J. C. A. M. Buijs, Wil M. P. van der Aalst, B. F. A. Hompes, J. Buurman
    Pages 76-104
  6. Stefan Bunk, Fabian Pittke, Jan Mendling
    Pages 105-123
  7. Andreas Solti, Laura Vana, Jan Mendling
    Pages 124-141
  8. Thomas Vogelgesang, H.-Jürgen Appelrath
    Pages 155-184
  9. Back Matter
    Pages 185-185

About these proceedings


This book constitutes the revised selected papers from the 5th IFIP WG 2.6 International Symposium  on Data-Driven Process Discovery and Analysis, SIMPDA 2015, held in Vienna, Austria in December 2015. 
The 8 papers presented in this volume were carefully reviewed and selected from 22 submissions. They cover theoretical issues related to process representation, discovery and analysis, or provide practical and operational experiences in process discovery and analysis. They focus mainly on the adoption of process mining algorithms in conjunction and coordination with other techniques and methodologies.



BPM Business Process Management Data Mining Process Analysis Process Mining

Editors and affiliations

  • Paolo Ceravolo
    • 1
  • Stefanie Rinderle-Ma
    • 2
  1. 1.Università degli Studi di MilanoCremaItaly
  2. 2.Research Group Workflow Systems and TechnologyUniversität WienViennaAustria

Bibliographic information

  • DOI
  • Copyright Information IFIP International Federation for Information Processing 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-53434-3
  • Online ISBN 978-3-319-53435-0
  • Series Print ISSN 1865-1348
  • Series Online ISSN 1865-1356
  • Buy this book on publisher's site