SIMPDA 2017
Data-driven Process Discovery and Analysis

Table of Contents

• Preface
  
  

Research Papers

• Discovering Customer Journey Maps using a Mixture of Markov Models 3-7
  Matthieu Harbich, Gaël Bernard, Pietro Berkes, Benoît Garbinato, Periklis Andritsos
• On the Use of Hierarchical Subtrace Mining for Efficient Local Process Model Mining 8-22
  Niek Tax, Laura Genga, Nicola Zannone
• A Linear Temporal Logic Model Checking Method over Finite Words with Correlated Transition Attributes 23-37
  Jean M. Couvreur, Joaquin Ezpeleta
• An Approach for Automatically Deriving Key Performance Indicators from Ontological Enterprise Models 38-53
  Ünal Aksu, Dennis Schunselaar, Hajo A. Reijers
• Focusing Business Process Lead Time Improvements Using Influence Analysis 54-67
  Teemu Lehto, Markku Hinkka, Jaakko Hollmén
• Detecting Operator Errors In Cloud Computing Using Anti-Patterns 68-82
  Arthur Vetter
• MMBR: A Report-driven Approach for the Design of Multidimensional Models 83-97
  Antonia Azzini, Stefania Marrara, Andrea Maurino, Amir Topalovic
• Towards semantic process mining through knowledge-based trace abstraction 98-112
  Stefania Montani, Manuel Striani, Silvana Quaglini, Anna Cavallini, Giorgio Leonardi
• Flexible Data Acquisition in Object-aware Process Management 113-127
  Sebastian Steinau, Kevin Andrews, Manfred Reichert
• Resource Utilization Prediction in Decision-Intensive Business Processes 128-141
  Simon Sperl, Giray Havur, Simon Steyskal, Cristina Cabanillas, Axel Polleres, Alois Haselböck

Posters

• Exploiting Natural Language Processing for Improving Health Processes 145-146
  Maurice Van Keulen, Jeroen Geerdink, Gerard Linssen, Riemer Slart, Onno Vijlbrief
• Extracting Service Process Models with Teams 147-148
  Tuuli Klemetti, Reijo Salminen, Olli Martikainen, Riku Saikkonen, Eljas Soisalo-Soininen
• Towards Continuous Behavior Mining 149-150
  Sabine Wolny, Alexandra Mazak, Rafael Konlechner, Manuel Wimmer
• Big Data Driven Supply Chain Network Design - Insights, Impacts, and a Framework for Assessment 151-152
  Tiru Arthanari, Shohil Kishore, David Sundaram
• A Framework for Trace Clustering and Concept-drift Detection in Event Streams 153-154
  Sylvio Barbon Junior, Gabriel M. Tavares, Paolo Ceravolo, Ernesto Damiani

Research Plans and Demonstrations

• Optimizing Configuration Data using Prescriptive Analytics 157-161
  Alexander Wurl

Complete proceedings in one ZIP file