Niek Tax - Google Scholar Citations

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Natalia SidorovaTechnische Universiteit EindhovenVerified email at tue.nl
Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Fraunhofer FIT || TU/e || TiUVerified email at pads.rwth-aachen.de
Marlon DumasUniversity of TartuVerified email at ut.ee
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
Irene TeinemaaData Scientist at Booking.comVerified email at booking.com
Xixi LuAssistant Professor at Utrecht UniversityVerified email at uu.nl
Sebastiaan van ZelstFraunhofer FIT & RWTH Aachen UniversityVerified email at fit.fraunhofer.de
Benjamin DALMASAssistant ProfessorVerified email at emse.fr
Emin AlasgarovLecturer of Computer and Information Sciences, ADA UniversityVerified email at ada.edu.az
Fabrizio MaggiAssociate Professor, Free University of Bozen-BolzanoVerified email at ut.ee
Massimiliano de LeoniAssistant Professor of Computer Science, University of PadovaVerified email at math.unipd.it
Dirk FahlandAssociate Professor in Computer Science, 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
Felix MannhardtResearcher SINTEF Digital / Part-time Associate Professor NTNUVerified email at sintef.no
Sander J.J. LeemansQueensland University of TechnologyVerified email at qut.edu.au
Arthur ter HofstedeQueensland University of TechnologyVerified email at qut.edu.au
Bart HompesEindhoven University of TechnologyVerified email at tue.nl

Niek Tax

Booking.com

Verified email at booking.com - Homepage

Machine Learning Sequence Models Data Mining Pattern Mining Process Mining


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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	161	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	68	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	64	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	51	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	38	2018
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	25	2016
Predicting The Dutch Football Competition Using Public Data: A Machine Learning Approach N Tax, Y Joustra 2014, 2014	25	2014
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	19	2017
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	18	2017
Unsupervised Event Abstraction using Pattern Abstraction and Local Process Models F Mannhardt, N Tax International Working Conference on Business Process Modeling, Development …, 2017	18	2017
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	12	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
An interdisciplinary comparison of sequence modeling methods for next-element prediction N Tax, I Teinemaa, SJ van Zelst Software and Systems Modeling, 2018	10	2018
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	9	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	9	2017
Heuristics for High-Utility Local Process Model Mining B Dalmas, N Tax, S Norre Proceedings of the International Workshop on Algorithms & Theories for the …, 2017	7	2017
Interest-Driven Discovery of Local Process Models N Tax, B Dalmas, N Sidorova, WMP van der Aalst, S Norre Information Systems, 2018	6	2018
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	4	2019
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	4	2018
Human Activity Prediction in Smart Home Environments with LSTM Neural Networks N Tax Proceedings of the International Conference on Intelligent Environments, 2018	4	2018

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