7th International Symposium on Data-Driven Process Discovery and Analysis SIMPDA 2017 December 6-8, 2017 Neuchatel, Switzerland Editors: Paolo Ceravolo Maurice Van Keulen Kilian Stoffel Foreword With the increasing automation of business processes, growing amounts of process data become available. This opens new research opportunities for business process data analysis, mining, and modeling. The aim of the IFIP 2.6 - International Symposium on Data- Driven Process Discovery and Analysis is to offer a forum where researchers from different communities and the industry can share their insight in this hot new field. Submissions aim at covering theoretical issues related to process representation, discovery and analysis, or provide practical and operational experiences in process discovery and analysis. Language for papers and presentations is English. In this sixth edition, 22 papers were submitted and 16 papers were accepted for publication in the pre-symposium volume. According to the format of a symposium, the discussion during the event is considered a valuable element that can help to improve the quality of the results proposed or the approach in presenting results. For this reason, authors of accepted papers will be invited to submit extended versions of their articles to a post-symposium volume of Lecture Notes in Business Information Processing, scheduled in 2018. Our thanks go to the authors who submitted to the conference, to the board of reviewers that made a deep work, and to those who participated in the organization or in the promotion of this event. We are very grateful to the University of Neuchatel, the Università degli Studi di Milano, the University of Twente, and the IFIP, for supporting this event. Paolo Ceravolo Maurice Van Keulen Kilian Stoffel SIMPDA co-Chairs II Table of Contents * Research Papers Discovering Customer Journey Maps using a Mixture of Markov Models Matthieu Harbich, Gaël Bernard, Pietro Berkes, Benoît Garbinato and Periklis Andritsos pp. 3-7 On the Use of Hierarchical Subtrace Mining for Efficient Local Process Model Mining Niek Tax, Laura Genga and Nicola Zannone pp. 8-22 A linear temporal logic model checking method over finite words with correlated transition attributes Jean Michel Couvreur and Joaquin Ezpeleta pp. 23-37 An Approach for Automatically Deriving Key Performance Indicators from Ontological Enterprise Models Ünal Aksu, Dennis Schunselaar and Hajo A. Reijers pp. 38-53 Focusing Business Process Lead Time Improvements Using Influence Analysis Teemu Lehto, Markku Hinkka and Jaakko Hollmén pp. 54-67 Detecting Operator Errors Using Anti-Patterns Arthur Vetter pp. 68-82 MMBR: a report-driven approach for the design of multidimensional models Antonia Azzini, Stefania Marrara, Andrea Maurino and Amir Topalovic pp. 83-97 Towards semantic process mining through knowledge-based trace abstraction Stefania Montani, Manuel Striani, Silvana Quaglini, Anna Cavallini and Giorgio Leonardi pp. 98-112 Flexible Data Acquisition in Object-aware Process Management Sebastian Steinau, Kevin Andrews and Manfred Reichert pp. 113-127 Resource Utilization Prediction in Decision-Intensive Business Processes Simon Sperl, Giray Havur, Simon Steyskal, Cristina Cabanillas, Axel Polleres and Alois Haselboeck pp. 128-141 III * Posters Exploiting Natural Language Processing for Improving Health Processes Maurice Van Keulen, Jeroen Geerdink, Gerard Linssen, Riemer Slart and Onno Vijlbrief pp. 145-146 Extracting Service Process Models with Teams Tuuli Klemetti, Reijo Salminen, Olli Martikainen, Riku Saikkonen and Eljas Soisalo- Soininen pp. 147-148 Towards Continuous Behavior Mining Sabine Wolny, Alexandra Mazak, Rafael Konlechner and Manuel Wimmer pp. 149-150 Big Data Driven Supply Chain Network Design – Insights, Impacts, and a Framework for Assessment Tiru Arthanari, Shohil Kishore and David Sundaram pp. 151-152 A Framework for Trace Clustering and Concept-drift Detection in Event Streams Sylvio Barbon Junior, Gabriel Marques Tavares, Paolo Ceravolo, and Ernesto Damiani pp. 153-154 * Research Plans and Demonstrations Optimizing Configuration Data using Prescriptive Analytics Alexander Wurl pp. 158-162 IV Conference Organization * Conference Co-Chairs Paolo Ceravolo, Università degli Studi di Milano, Italy Maurice Van Keulen, University of Twente, The Netherlands Kilan Stoffel, University of Neuchatel, Switzerland * Advisory Board Ernesto Damiani, Università degli Studi di Milano, Italy Erich Neuhold, University of Vienna, Austria Philippe Cudré-Mauroux, University of Fribourg, Switzerland Robert Meersman, Graz University of Technology, Austria Wilfried Grossmann, University of Vienna, Austria * PhD. Award Committee Paul Cotofrei, University of Neuchatel, Switzerland Paolo Ceravolo, Università Degli Studi Di Milano, Italy * Publicity Chair Fulvio Frati, Università degli Studi di Milano, Italy V Program Committee AKHIL KUMAR, PENN STATE UNIVERSITY, USA BENOIT DEPAIRE, UNIVERSITY OF HASSELT, BELGIUM CHINTAN AMRIT, UNIVERSITY OF TWENTE, THE NETHERLANDS CHRISTOPHE DEBRUYNE, TRINITY COLLEGE DUBLIN, IRELAND EBRAHIM BAGHERI, RYERSON UNIVERSITY, CANADA EDGAR WEIPPL, TU VIENNA, AUSTRIA FABRIZIO MARIA MAGGI, UNIVERSITY OF TARTU, ESTONIA GEORGE SPANOUDAKIS, CITY UNIVERSITY LONDON, UK HARIS MOURATIDIS, UNIVERSITY OF BRIGHTON, UK ISABELLA SEEBER, UNIVERSITY OF INNSBRUCK, AUSTRIA JAN MENDLING, VIENNA UNIVERSITY OF ECONOMICS AND BUSINESS, AUSTRIA JOSEP CARMONA, UPC - BARCELONA, SPAIN KRISTOF BOEHMER, UNIVERSITY OF VIENNA, AUSTRIA MANFRED REICHERT, ULM UNIVERSITY, GERMANY MARCELLO LEIDA, TAIGER, SPAIN MARK STREMBECK, WU VIENNA, AUSTRIA MASSIMILIANO DE LEONI, EINDHOVEN TU, NETHERLANDS MATTHIAS WEIDLICH, HU BERLIN, GERMANY MAZAK ALEXANDRA, VIENNA UNIVERSITY OF TECHNOLOGY, AUSTRIA MOHAMED MOSBAH, UNIVERSITY OF BORDEAUX, FRANCE MUSTAFA JARRAR, BIRZEIT UNIVERSITY, PALESTINE ROBERT SINGER, FH JOANNEUM, AUSTRIA ROLAND RIEKE, FRAUNHOFER SIT, GERMANY SCHAHRAM DUSTDAR, VIENNA UNIVERSITY OF TECHNOLOGY, AUSTRIA THOMAS VOGELGESANG, UNIVERSITY OF OLDENBURG, GERMANY VALENTINA EMILIA BALAS, UNIVERSITY OF ARAD, ROMANIA WIL VAN DER AALST, TECHNISCHE UNIVERSITEIT EINDHOVEN, THE NETHERLANDS VI Sponsors VII