© 2018

Data-Driven Process Discovery and Analysis

6th IFIP WG 2.6 International Symposium, SIMPDA 2016, Graz, Austria, December 15-16, 2016, Revised Selected Papers

  • Paolo Ceravolo
  • Christian Guetl
  • Stefanie Rinderle-Ma
Conference proceedings SIMPDA 2016

Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 307)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Hamda Al-Ali, Ernesto Damiani, Mahmoud Al-Qutayri, Mohammad Abu-Matar, Rabeb Mizouni
    Pages 22-36
  3. Alexandra Mazak, Manuel Wimmer, Polina Patsuk-Bösch
    Pages 37-52
  4. Alifah Syamsiyah, Boudewijn F. van Dongen, Wil M. P. van der Aalst
    Pages 53-77
  5. Ye Zhang, Olli Martikainen, Riku Saikkonen, Eljas Soisalon-Soininen
    Pages 78-96
  6. Hamda Al-Ali, Ernesto Damiani, Mahmoud Al-Qutayri, Mohammad Abu-Matar, Rabeb Mizouni
    Pages E1-E1
  7. Back Matter
    Pages 97-97

About these proceedings


This book constitutes the revised selected papers from the 6th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2016, held in Graz, Austria in December 2016.

The 5 papers presented in this volume were carefully reviewed and selected from 18 submissions. In this edition, the presentations focused on the adoption of process mining algorithms for continuous monitoring of business process. They underline the most relevant challenges identified and propose novel solutions for their resolution.


BPM Business Process Management Data Mining Process Analysis Process Mining

Editors and affiliations

  1. 1.Università degli Studi di MilanoCremaItaly
  2. 2.Graz University of TechnologyGrazAustria
  3. 3.Universität WienViennaAustria

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