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