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7th SIMPDA 2017: Neuchâtel, Switzerland
- Paolo Ceravolo, Maurice van Keulen, Kilian Stoffel:
Proceedings of the 7th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2017), Neuchâtel, Switzerland, December 6-8, 2017. CEUR Workshop Proceedings 2016, CEUR-WS.org 2017
Research Papers
- Matthieu Harbich, Gaël Bernard, Pietro Berkes, Benoît Garbinato, Periklis Andritsos:
Discovering Customer Journey Maps using a Mixture of Markov Models. 3-7 - Niek Tax, Laura Genga, Nicola Zannone:
On the Use of Hierarchical Subtrace Mining for Efficient Local Process Model Mining. 8-22 - Jean-Michel Couvreur, Joaquin Ezpeleta:
A Linear Temporal Logic Model Checking Method over Finite Words with Correlated Transition Attributes. 23-37 - Ünal Aksu, Dennis M. M. Schunselaar, Hajo A. Reijers:
An Approach for Automatically Deriving Key Performance Indicators from Ontological Enterprise Models. 38-53 - Teemu Lehto, Markku Hinkka, Jaakko Hollmén:
Focusing Business Process Lead Time Improvements Using Influence Analysis. 54-67 - Arthur Vetter:
Detecting Operator Errors In Cloud Computing Using Anti-Patterns. 68-82 - Antonia Azzini, Stefania Marrara, Andrea Maurino, Amir Topalovic:
MMBR: A Report-driven Approach for the Design of Multidimensional Models. 83-97 - Stefania Montani, Manuel Striani, Silvana Quaglini, Anna Cavallini, Giorgio Leonardi:
Towards semantic process mining through knowledge-based trace abstraction. 98-112 - Sebastian Steinau, Kevin Andrews, Manfred Reichert:
Flexible Data Acquisition in Object-aware Process Management. 113-127 - Simon Sperl, Giray Havur, Simon Steyskal, Cristina Cabanillas, Axel Polleres, Alois Haselböck:
Resource Utilization Prediction in Decision-Intensive Business Processes. 128-141
Posters
- Maurice van Keulen, Jeroen Geerdink, Gerard Linssen, Riemer H. J. A. Slart, Onno Vijlbrief:
Exploiting Natural Language Processing for Improving Health Processes. 145-146 - Tuuli Klemetti, Reijo Salminen, Olli Martikainen, Riku Saikkonen, Eljas Soisalon-Soininen:
Extracting Service Process Models with Teams. 147-148 - Sabine Wolny, Alexandra Mazak, Rafael Konlechner, Manuel Wimmer:
Towards Continuous Behavior Mining. 149-150 - Tiru S. Arthanari, Shohil Kishore, David Sundaram:
Big Data Driven Supply Chain Network Design - Insights, Impacts, and a Framework for Assessment. 151-152 - Sylvio Barbon Junior, Gabriel M. Tavares, Paolo Ceravolo, Ernesto Damiani:
A Framework for Trace Clustering and Concept-drift Detection in Event Streams. 153-154
Research Plans and Demonstrations
- Alexander Wurl:
Optimizing Configuration Data using Prescriptive Analytics. 157-161
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