Niek Tax

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Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Celonis || Fraunhofer FIT || TU/eVerified email at pads.rwth-aachen.de
Natalia SidorovaTechnische Universiteit EindhovenVerified email at tue.nl
Marlon DumasUniversity of TartuVerified email at ut.ee
Irene TeinemaaMachine Learning at Booking.comVerified email at booking.com
Ilya VerenichSchool of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Marcello La RosaSchool of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Djoerd HiemstraRadboud UniversityVerified email at cs.ru.nl
Sebastiaan van ZelstFraunhofer FIT | RWTH Aachen UniversityVerified email at fit.fraunhofer.de
Xixi LuAssistant Professor at Utrecht UniversityVerified email at uu.nl
Fabrizio MaggiAssociate Professor, Free University of Bozen-BolzanoVerified email at ut.ee
Massimiliano de LeoniAssociate Professor of Computer Science, University of PadovaVerified email at math.unipd.it
Benjamin DALMASAssistant ProfessorVerified email at emse.fr
Emin AlasgarovChief Data Officer, Unibank. Adjunct Instructor, ADA UniversityVerified email at ada.edu.az
Dirk FahlandAssociate Professor in Computer Science, Eindhoven University of TechnologyVerified email at tue.nl
Felix MannhardtAssistant Professor Eindhoven University of TechnologyVerified email at tue.nl
Nicola ZannoneEindhoven University of TechnologyVerified email at tue.nl
Laura GengaEindhoven University of TechnlogyVerified email at tue.nl
Matthias WeidlichHumboldt-Universität zu BerlinVerified email at hu-berlin.de
Stephan A. Fahrenkrog-PetersenHumboldt-Universität zu BerlinVerified email at hu-berlin.de
Sander J.J. LeemansQueensland University of TechnologyVerified email at qut.edu.au

Niek Tax

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Machine Learning Sequence Models Data Mining Pattern Mining Process Mining


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Predictive business process monitoring with LSTM neural networks N Tax, I Verenich, M La Rosa, M Dumas Proceedings of the International Conference on Advanced Information Systems …, 2017	313	2017
Mining local process models N Tax, N Sidorova, R Haakma, WMP van der Aalst Journal of Innovation in Digital Ecosystems 3 (2), 183-196, 2016	90	2016
A cross-benchmark comparison of 87 learning to rank methods N Tax, S Bockting, D Hiemstra Information processing & management 51 (6), 757-772, 2015	77	2015
Event abstraction for process mining using supervised learning techniques N Tax, N Sidorova, R Haakma, WMP van der Aalst Proceedings of the SAI Intelligent Systems Conference, 2016	76	2016
The Imprecisions of Precision Measures in Process Mining N Tax, X Lu, N Sidorova, D Fahland, WMP van der Aalst Information Processing Letters 135, 1-8, 2018	55	2018
Discovering More Precise Process Models from Event Logs by Filtering Out Chaotic Activities N Tax, N Sidorova, WMP van der Aalst Journal of Intelligent Information Systems, 1-33, 2017	43	2017
Predicting The Dutch Football Competition Using Public Data: A Machine Learning Approach N Tax, Y Joustra 2014, 2014	40	2014
An interdisciplinary comparison of sequence modeling methods for next-element prediction N Tax, I Teinemaa, SJ van Zelst Software and Systems Modeling 19 (6), 1345-1365, 2020	32	2020
Unsupervised Event Abstraction using Pattern Abstraction and Local Process Models F Mannhardt, N Tax International Working Conference on Business Process Modeling, Development …, 2017	30	2017
Heuristic approaches for generating local process models through log projections N Tax, N Sidorova, WMP van der Aalst, R Haakma Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2016	27	2016
Mining Process Model Descriptions of Daily Life through Event Abstraction N Tax, N Sidorova, R Haakma, WMP van der Aalst Intelligent Systems and Applications 751, 2017	26	2017
Evaluating conformance measures in process mining using conformance propositions AF Syring, N Tax, WMP van der Aalst Transactions on Petri Nets and Other Models of Concurrency XIV, 192-221, 2019	24	2019
Alarm-based prescriptive process monitoring I Teinemaa, N Tax, M de Leoni, M Dumas, FM Maggi International Conference on Business Process Management, 91-107, 2018	18	2018
Human Activity Prediction in Smart Home Environments with LSTM Neural Networks N Tax Proceedings of the International Conference on Intelligent Environments, 2018	16	2018
Log-based evaluation of label splits for process models N Tax, N Sidorova, R Haakma, WMP van der Aalst Procedia Computer Science 96, 63-72, 2016	13	2016
On generation of time-based label refinements N Tax, E Alasgarov, N Sidorova, R Haakma Proceedings of the 25th International Workshop on Concurrency, Specification …, 2016	11	2016
Interest-Driven Discovery of Local Process Models N Tax, B Dalmas, N Sidorova, WMP van der Aalst, S Norre Information Systems, 2018	10	2018
On the Use of Hierarchical Subtrace Mining for Efficient Local Process Model Mining N Tax, L Genga, N Zannone Proceedings of the International Symposium on Data-driven Process Discovery …, 2017	10	2017
Fire now, fire later: alarm-based systems for prescriptive process monitoring SA Fahrenkrog-Petersen, N Tax, I Teinemaa, M Dumas, M de Leoni, ... arXiv preprint arXiv:1905.09568, 2019	9	2019
LocalProcessModelDiscovery: Bringing Petri Nets to the Pattern Mining World N Tax, N Sidorova, WMP van der Aalst, R Haakma Application and Theory of Petri Nets and Concurrency, 2018	9	2018

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