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 DumasProfessor at University of Tartu | Co-founder at ApromoreVerified email at ut.ee
Irene TeinemaaDeepMindVerified email at deepmind.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
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
Xixi LuAssistant Professor at Utrecht UniversityVerified email at uu.nl
Benjamin DALMASResearcherVerified email at crim.ca
Dirk FahlandAssociate Professor in Computer Science, Eindhoven University of TechnologyVerified email at tue.nl
Emin AlasgarovChief Data Officer, Unibank. Adjunct Instructor, ADA UniversityVerified email at ada.edu.az
Felix MannhardtAssistant Professor Eindhoven University of TechnologyVerified email at tue.nl
Sander J.J. LeemansRWTH UniversityVerified email at bpm.rwth-aachen.de
Matthias WeidlichHumboldt-Universität zu BerlinVerified email at hu-berlin.de
Stephan A. Fahrenkrog-PetersenHumboldt-Universität zu BerlinVerified email at hu-berlin.de
Nicola ZannoneEindhoven University of TechnologyVerified email at tue.nl
Laura GengaEindhoven University of TechnlogyVerified email at tue.nl

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	437	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	116	2016
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	94	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	94	2015
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	79	2017
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	65	2018
Predicting The Dutch Football Competition Using Public Data: A Machine Learning Approach N Tax, Y Joustra 2014, 2014	63	2014
Unsupervised Event Abstraction using Pattern Abstraction and Local Process Models F Mannhardt, N Tax International Working Conference on Business Process Modeling, Development …, 2017	42	2017
An interdisciplinary comparison of sequence modeling methods for next-element prediction N Tax, I Teinemaa, SJ van Zelst Software and Systems Modeling 19, 1345-1365, 2020	41	2020
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	38	2019
Human Activity Prediction in Smart Home Environments with LSTM Neural Networks N Tax Proceedings of the International Conference on Intelligent Environments, 2018	38	2018
Alarm-based prescriptive process monitoring I Teinemaa, N Tax, M de Leoni, M Dumas, FM Maggi Business Process Management Forum: BPM Forum 2018, Sydney, NSW, Australia …, 2018	36	2018
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	32	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	31	2016
Fire now, fire later: alarm-based systems for prescriptive process monitoring SA Fahrenkrog-Petersen, N Tax, I Teinemaa, M Dumas, M de Leoni, ... Knowledge and Information Systems, 2021	25	2021
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	16	2016
Interest-Driven Discovery of Local Process Models N Tax, B Dalmas, N Sidorova, WMP van der Aalst, S Norre Information Systems, 2018	15	2018
Mining Local Process Models with Constraints Efficiently: Applications to the Analysis of Smart Home Data N Tax, N Sidorova, R Haakma, WMP van der Aalst Proceedings of the International Conference on Intelligent Environments, 2018	13	2018
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	12	2016
Generating Time-Based Label Refinements to Discover More Precise Process Models N Tax, E Alasgarov, N Sidorova, R Haakma, WMP van der Aalst Journal of Ambient Intelligence and Smart Environments 11 (2), 165-182, 2019	11	2019

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