Maurice van Keulen
Maurice van Keulen
Associate Professor Data Science Robustness, University of Twente
Verified email at - Homepage
Cited by
Cited by
MonetDB/XQuery: a fast XQuery processor powered by a relational engine
P Boncz, T Grust, M van Keulen, S Manegold, J Rittinger, J Teubner
Proceedings of the 2006 ACM SIGMOD international conference on Management of …, 2006
Staircase join: Teach a relational DBMS to watch its (axis) steps
T Grust, M van Keulen, J Teubner
Proceedings of the 29th international conference on Very large data bases …, 2003
Accelerating XPath evaluation in any RDBMS
T Grust, M van Keulen, J Teubner
ACM Transactions on Database Systems (TODS) 29 (1), 91-131, 2004
A probabilistic XML approach to data integration
M Van Keulen, A De Keijzer, W Alink
21st International Conference on Data Engineering (ICDE'05), 459-470, 2005
Qualitative effects of knowledge rules and user feedback in probabilistic data integration
M van Keulen, A de Keijzer
The VLDB Journal 18 (5), 1191-1217, 2009
Pathfinder: XQuery---the relational way
P Boncz, T Grust, M van Keulen, S Manegold, J Rittinger, J Teubner
Proceedings of the 31st international conference on Very large data bases …, 2005
Big Data Semantics
P Ceravolo, A Azzini, M Angelini, T Catarci, P Cudré-Mauroux, E Damiani, ...
Journal on Data Semantics 7 (2), 65-85, 2018
Process prediction in noisy data sets: a case study in a dutch hospital
S Spoel, M Keulen, C Amrit
International symposium on data-driven process discovery and analysis, 60-83, 2012
Tree awareness for relational DBMS kernels: Staircase join
T Grust, M Van Keulen
Intelligent Search on XML Data, 231-245, 2003
ROX: run-time optimization of XQueries
R Abdel Kader, P Boncz, S Manegold, M Van Keulen
Proceedings of the 2009 ACM SIGMOD International Conference on Management of …, 2009
Using element clustering to increase the efficiency of xml schema matching
M Smiljanic, M van Keulen, W Jonker
Data Engineering Workshops, 2006. Proceedings. 22nd International Conference …, 2006
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
M Nauta, J Trienes, S Pathak, E Nguyen, M Peters, Y Schmitt, ...
arXiv preprint arXiv:2201.08164, 2022
Deep Physiological Arousal Detection in a Driving Simulator using Wearable Sensors
A Saeed, S Trajanovski, M van Keulen, J van Erp
IEEE International Conference on Data Miningworkshop: Data Mining in …, 2017
Formalizing the XML schema matching problem as a constraint optimization problem
M Smiljanić, M Keulen, W Jonker
International Conference on Database and Expert Systems Applications, 333-342, 2005
Duplicate detection in probabilistic data
F Panse, M Van Keulen, A De Keijzer, N Ritter
Data Engineering Workshops (ICDEW), 2010 IEEE 26th International Conference …, 2010
Information Extraction for Social Media
MB Habib, M van Keulen
SWAIE 2014, 9, 2014
Unsupervised improvement of named entity extraction in short informal context using disambiguation clues
MB Habib, M van Keulen
CEUR-WS. org 925, 1-10, 2012
Predicting parking occupancy via machine learning in the web of things
JC Provoost, A Kamilaris, LJJ Wismans, SJ van der Drift, M van Keulen
Internet of Things 12, 100301, 2020
Automated semantic trajectory annotation with indoor point-of-interest visits in urban areas
V de Graaff, RA de By, M van Keulen
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 552-559, 2016
Managing uncertainty: The road towards better data interoperability
M van Keulen
it-Information Technology Methoden und innovative Anwendungen der Informatik …, 2012
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