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Decision 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 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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