SIMPDA 2014
Data-driven Process Discovery and Analysis

Table of Contents

• Preface
  
  

Research Papers

• History-based Construction of Log-Process Alignments for Conformance Checking: Discovering What Really Went Wrong 1-15
  Mahdi Alizadeh, Massimiliano de Leoni, Nicola Zannone
• Finding Suitable Activity Clusters for Decomposed Process Discovery 16-30
  Bart Hompes, Eric Verbeek, Wil van der Aalst
• Discovery of Frequent Episodes in Event Logs 31-45
  Maikel Leemans, Wil van der Aalst
• Business Process Measurement in Small Enterprises after the Installation of an ERP Software 46-59
  Stefano Siccardi, Claudia Sebastiani
• Reasoning on Data-Aware Business Processes with Constraint Logic 60-75
  Fabrizio Smith, Maurizio Proietti
• CoPra2Go: An APP for Coding Collaboration Processes 76-90
  Emmanuel Nowakowski, Isabella Seeber, Ronald Maier, Fulvio Frati
• Scalable Dynamic Business Process Discovery with the Constructs Competition Miner 91-107
  David Redlich, Thomas Molka, Wasif Gilani, Gordon Blair, Awais Rashid
• Scalable Process Monitoring through Rules and Neural Networks (Project Presentation) 108-122
  Alan Perotti, Guido Boella, Artur D'Avila Garcez
• Using Monotonicity to Find Optimal Process Configurations Faster 123-137
  Dennis Schunselaar, Eric Verbeek, Hajo A. Reijers, Wil van der Aalst

Demonstrations

• Tracking Hot Topics for the Monitoring of Open-World Processes 138-149
  Remo Pareschi, Marco Rossetti, Fabio Stella
• Using Semantic Lifting for Improving Educational Process Models Discovery and Analysis 150-161
  Awatef Hicheur Cairns, Joseph Assu Ondo, Billel Gueni, Mehdi Fhima, Marcel Schwarcfeld, Christian Joubert, Nasser Khelifa
• From Declarative Processes to Imperative Models 162-173
  Johannes Prescher, Claudio Di Ciccio, Jan Mendling

Research Plans

• A Methodology for Generating Artificial Event Logs to Compare Process Discovery Techniques 174-178
  Toon Jouck, Marijke Swennen, Benoît Depaire
• Process Mining Extension to SCAMPI 179-183
  Arthur Valle