| Vol-2016 urn:nbn:de:0074-2016-7 Copyright © 2017 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# SIMPDA 2017
Data-driven Process Discovery and Analysis

### Proceedings of the 7th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2017)

### Neuchâtel, Switzerland, December 6-8, 2017.

Edited by

### Paolo Ceravolo (1)
Maurice Van Keulen (2)
Kilian Stoffel (3)

(1) Università degli Studi di Milano, Italy
(2) University of Twente, The Netherlands
(3) Université de Neuchâtel , Switzerland

## 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

2017-12-07: submitted by Paolo Ceravolo, metadata incl. bibliographic data published under Creative Commons CC0
2017-12-08: published on CEUR-WS.org |valid HTML5|