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Arik Senderovich
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Queue mining–predicting delays in service processes
A Senderovich, M Weidlich, A Gal, A Mandelbaum
Advanced Information Systems Engineering: 26th International Conference …, 2014
1282014
Traveling time prediction in scheduled transportation with journey segments
A Gal, A Mandelbaum, F Schnitzler, A Senderovich, M Weidlich
Information Systems 64, 266-280, 2017
1242017
Queue mining for delay prediction in multi-class service processes
A Senderovich, M Weidlich, A Gal, A Mandelbaum
Information systems 53, 278-295, 2015
1192015
Intra and inter-case features in predictive process monitoring: A tale of two dimensions
A Senderovich, C Di Francescomarino, C Ghidini, K Jorbina, FM Maggi
Business Process Management: 15th International Conference, BPM 2017 …, 2017
1052017
The ROAD from sensor data to process instances via interaction mining
A Senderovich, A Rogge-Solti, A Gal, J Mendling, A Mandelbaum
Advanced Information Systems Engineering: 28th International Conference …, 2016
552016
Conformance checking and performance improvement in scheduled processes: A queueing-network perspective
A Senderovich, M Weidlich, L Yedidsion, A Gal, A Mandelbaum, S Kadish, ...
Information Systems 62, 185-206, 2016
542016
In log and model we trust? A generalized conformance checking framework
A Rogge-Solti, A Senderovich, M Weidlich, J Mendling, A Gal
Business Process Management: 14th International Conference, BPM 2016, Rio de …, 2016
392016
From knowledge-driven to data-driven inter-case feature encoding in predictive process monitoring
A Senderovich, C Di Francescomarino, FM Maggi
Information Systems 84, 255-264, 2019
362019
Discovering queues from event logs with varying levels of information
A Senderovich, SJJ Leemans, S Harel, A Gal, A Mandelbaum, ...
Business Process Management Workshops: BPM 2015, 13th International …, 2016
342016
How much event data is enough? A statistical framework for process discovery
M Bauer, A Senderovich, A Gal, L Grunske, M Weidlich
Advanced Information Systems Engineering: 30th International Conference …, 2018
332018
Data-driven performance analysis of scheduled processes
A Senderovich, A Rogge-Solti, A Gal, J Mendling, A Mandelbaum, ...
Business Process Management: 13th International Conference, BPM 2015 …, 2015
232015
Mining resource scheduling protocols
A Senderovich, M Weidlich, A Gal, A Mandelbaum
Business Process Management: 12th International Conference, BPM 2014, Haifa …, 2014
232014
An Ising framework for constrained clustering on special purpose hardware
E Cohen, A Senderovich, JC Beck
Integration of Constraint Programming, Artificial Intelligence, and …, 2020
182020
Congestion graphs for automated time predictions
A Senderovich, JC Beck, A Gal, M Weidlich
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4854-4861, 2019
182019
Temporal network representation of event logs for improved performance modelling in business processes
A Senderovich, M Weidlich, A Gal
Business Process Management: 15th International Conference, BPM 2017 …, 2017
182017
To aggregate or to eliminate? Optimal model simplification for improved process performance prediction
A Senderovich, A Shleyfman, M Weidlich, A Gal, A Mandelbaum
Information Systems 78, 96-111, 2018
172018
P-Folder: Optimal Model Simplification for Improving Accuracy in Process Performance Prediction
A Senderovich, A Shleyfman, M Weidlich, A Gal, A Mandelbaum
Business Process Management: 14th International Conference, BPM 2016, Rio de …, 2016
132016
Discovery and validation of queueing networks in scheduled processes
A Senderovich, M Weidlich, A Gal, A Mandelbaum, S Kadish, CA Bunnell
Advanced Information Systems Engineering: 27th International Conference …, 2015
112015
Generating complex, realistic cloud workloads using recurrent neural networks
S Bergsma, T Zeyl, A Senderovich, JC Beck
Proceedings of the ACM SIGOPS 28th Symposium on Operating Systems Principles …, 2021
92021
Inductive context-aware process discovery
R Shraga, A Gal, D Schumacher, A Senderovich, M Weidlich
2019 International Conference on Process Mining (ICPM), 33-40, 2019
82019
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