SIMPDA 2018
Data-driven Process Discovery and Analysis

Table of Contents

• Preface
  
  

Research Papers

• Ensuring Confidentiality in Process Mining 3-17
  Majid Rafiei, Leopold von Waldthausen, Wil M.P. van der Aalst
• Modelling Business Processes for Outsourcing into the Fog and Cloud Computing 18-31
  Louar Fadila, Zarour Karim, Benmerzoug Djamel
• Analyzing Business Process Changes Using Influence Analysis 32-46
  Teemu Lehto, Markku Hinkka, Jaakko Hollmén

Short Papers

• Prediction of Business Process Instances with Dynamic Bayesian Networks 50-54
  Jens Brunk, Kate Revoredo, Matthias Stierle, Martin Matzner, Patrick Delfmann, Jörg Becker
• Standardizing Process Data Exploitation by means of a Process Instance Metamodel 55-59
  Antonio Cancela, Antonia M. Reina Quintero, Alejandro García-García, Maria Teresa Gómez-López
• StarStar Models: Using Events at Database Level for Process Analysis 60-64
  Alessandro Berti, Wil M.P. van der Aalst
• Process Enhancement in Process Mining: A Literature Review 65-72
  Fitri Almira Yasmin, Faiza Allah Bukhsh, Patricio de Alencar Silva
• Process Mining of Events Log from Windows 73-77
  Radim Dolak, Milena Janakova, Josef Botlik