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ORCIDDecision Support Systems, Volume 100
Volume 100, August 2017
- Jan Mendling
, Bart Baesens, Abraham Bernstein, Michael Fellmann:
Challenges of smart business process management: An introduction to the special issue. 1-5 - Christopher Klinkmüller, Ingo Weber:
Analyzing control flow information to improve the effectiveness of process model matching techniques. 6-14 - Christian Meilicke, Henrik Leopold, Elena Kuss, Heiner Stuckenschmidt, Hajo A. Reijers:
Overcoming individual process model matcher weaknesses using ensemble matching. 15-26 - Wolfgang Kratsch, Jonas Manderscheid, Daniel Reißner, Maximilian Röglinger:
Data-driven Process Prioritization in Process Networks. 27-40 - Artem Polyvyanyy, Chun Ouyang, Alistair Barros, Wil M. P. van der Aalst:
Process querying: Enabling business intelligence through query-based process analytics. 41-56 - Jan Claes, Irene T. P. Vanderfeesten, Frederik Gailly, Paul Grefen, Geert Poels:
The Structured Process Modeling Method (SPMM) what is the best way for me to construct a process model? 57-76 - Suriadi Suriadi, Moe Thandar Wynn, Jingxin Xu, Wil M. P. van der Aalst, Arthur H. M. ter Hofstede:
Discovering work prioritisation patterns from event logs. 77-92 - Moe Thandar Wynn, Erik Poppe, J. Xu, Arthur H. M. ter Hofstede, Ross Brown, Azzurra Pini, Wil M. P. van der Aalst:
ProcessProfiler3D: A visualisation framework for log-based process performance comparison. 93-108 - Seppe K. L. M. vanden Broucke, Jochen De Weerdt:
Fodina: A robust and flexible heuristic process discovery technique. 109-118 - Niels Martin, Marijke Swennen, Benoît Depaire, Mieke Jans, An Caris, Koen Vanhoof:
Retrieving batch organisation of work insights from event logs. 119-128 - Joerg Evermann, Jana-Rebecca Rehse, Peter Fettke:
Predicting process behaviour using deep learning. 129-140
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