SIMPDA 2015
Data-driven Process Discovery and Analysis

Table of Contents

• Preface
  
  

Research Papers

• Generating Performance Improvement Suggestions by using Cross-Organizational Process Mining 3-17
  Onur Yilmaz, Pinar Karagoz
• Learning Analytics on Coursera Event Data:A Process Mining Approach 18-32
  Patrick Mukala, Joos Buijs, Maikel Leemans, Wil van der Aalst
• Exploiting Process Cubes, Analytic Workflows and Process Mining for Business Process Reporting: A Case Study in Education 33-47
  Alfredo Bolt, Massimiliano de Leoni, Wil van der Aalst, Pierre Gorissen
• Using Verb Abstractness for Detecting Terminological Inconsistency 48-63
  Stefan Bunk, Fabian Pittke, Jan Mendling
• A Relational Data Warehouse for Multidimensional Process Mining 64-78
  Thomas Vogelgesang, H.-Jürgen Appelrath
• Enhancing Process Mining Results using Domain Knowledge 79-94
  Prabhakar Dixit, Joos Buijs, Wil van der Aalst, Bart Hompes, Hans Buurman
• Detecting Change in Processes Using Comparative Trace Clustering 95-108
  Bart Hompes, Joos Buijs, Wil van der Aalst, Prabhakar Dixit, Hans Buurman
• Time Series Petri Net Models - Enrichment and Prediction 109-123
  Andreas Rogge-Solti, Laura Vana, Jan Mendling

Short Papers

• A Vision of Experimental Process Improvement 127-130
  Ingo Weber, Jan Mendling
• Selecting Web Functionalities versus Data Quality Dimensions: A First Approach 131-136
  César Guerra, Ismael Caballero, Victor Menendez-Dominguez, Omar Montaño Rivas
• Batch Processing: Definition and Event Log Identification 137-140
  Niels Martin, Marijke Swennen, Benoît Depaire, Mieke Jans, An Caris, Koen Vanhoof
• Capturing Process Behavior with Log-Based Process Metrics 141-144
  Marijke Swennen, Gert Janssenswillen, Mieke Jans, Benoît Depaire, Koen Vanhoof
• Safety-critical Human- and Data-centric Process Management in Engineering Projects 145-148
  Cristina Cabanillas, Jan Mendling, Axel Polleres, Alois Haselböck
• Process Mining in Big Data Scenario 149-153
  Antonia Azzini, Ernesto Damiani
• Business process analysis by model checking 154-170
  David Kuhlen, Andreas Speck

Research Plans and Demonstrations

• A Case Mining based Recommender System for Knowledge Workers 173-183
  Sebastian Huber
• Framework for Optimizing Collaboration using Stimulation 184-188
  Muhammad Muneeb Kiani
• Enabling Event-data Analysis in R - Demonstration 189-198
  Gert Janssenswillen, Marijke Swennen, Benoît Depaire, Mieke Jans