Ausgabe 1/2023
Inhalt (13 Artikel)
Editorial: recent advances in process analytics
Paolo Ceravolo, Claudio Di Ciccio, Chiara Di Francescomarino, María Teresa Gómez-López, Fabrizio Maria Maggi, Renuka Sindhgatta
Multi-perspective enriched instance graphs for next activity prediction through graph neural network
Andrea Chiorrini, Claudia Diamantini, Laura Genga, Domenico Potena
Can recurrent neural networks learn process model structure?
Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
Performance-preserving event log sampling for predictive monitoring
Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park, Marco Pegoraro, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
Applying MAPE-K control loops for adaptive workflow management in smart factories
Lukas Malburg, Maximilian Hoffmann, Ralph Bergmann
A natural language querying interface for process mining
Luciana Barbieri, Edmundo Madeira, Kleber Stroeh, Wil van der Aalst
Model-based decision support for knowledge-intensive processes
Anjo Seidel, Stephan Haarmann, Mathias Weske
Parameters tuning of multi-model database based on deep reinforcement learning
Feng Ye, Yang Li, Xiwen Wang, Nadia Nedjah, Peng Zhang, Hong Shi
Efficient approximate top-k mutual information based feature selection
Md Abdus Salam, Senjuti Basu Roy, Gautam Das
MhSa-GRU: combining user’s dynamic preferences and items’ correlation to augment sequence recommendation
Yongrui Duan, Peng Liu, Yusheng Lu
Towards a soft three-level voting model (Soft T-LVM) for fake news detection
Boutheina Jlifi, Chayma Sakrani, Claude Duvallet
Group event recommendation based on a heterogeneous attribute graph considering long- and short- term preferences
Xiaobin Deng, Guoqiong Liao, Yiwan Zeng
MaMiPot: a paradigm shift for the classification of imbalanced data
Hossein Ghaderi Zefrehi, Hakan Altınçay