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