Mourad Khayati
Mourad Khayati
Senior Researcher, University of Fribourg
Verified email at exascale.info - Homepage
Title
Cited by
Cited by
Year
Online anomaly detection over big data streams
L Rettig, M Khayati, P Cudré-Mauroux, M Piórkowski
Applied Data Science, 289-312, 2019
582019
Memory-efficient centroid decomposition for long time series
M Khayati, M Böhlen, J Gamper
2014 IEEE 30th International Conference on Data Engineering, 100-111, 2014
122014
Rebom: Recovery of blocks of missing values in time series
M Khayati, MH Böhlen
Proceedings of the 18th International Conference on Management of Data, 44-55, 2012
122012
Incremental approach for Continuous k-Nearest Neighbours queries on road
M Khayati, J Akaichi
International journal of intelligent information and database systems 2 (2 …, 2008
122008
Missing value imputation in time series using Top-k case matching
K Wellenzohn, H Mitterer, J Gamper, MH Böhlen, M Khayati
CEUR, 2014
52014
Statix—statistical type inference on linked data
A Lutov, S Roshankish, M Khayati, P Cudré-Mauroux
2018 IEEE International Conference on Big Data (Big Data), 2253-2262, 2018
42018
Clubmark: a parallel isolation framework for benchmarking and profiling clustering algorithms on numa architectures
A Lutov, M Khayati, P Cudré-Mauroux
2018 IEEE International Conference on Data Mining Workshops (ICDMW), 1481-1486, 2018
42018
Sciencewise: Topic modeling over scientific literature networks
A Martini, A Lutov, V Gemmetto, A Magalich, A Cardillo, A Constantin, ...
arXiv preprint arXiv:1612.07636, 2016
42016
Using lowly correlated time series to recover missing values in time series: a comparison between SVD and CD
M Khayati, MH Böhlen, PC Mauroux
International Symposium on Spatial and Temporal Databases, 237-254, 2015
42015
Mind the gap: an experimental evaluation of imputation of missing values techniques in time series
M Khayati, A Lerner, Z Tymchenko, P Cudré-Mauroux
Proceedings of the VLDB Endowment 13 (5), 768-782, 2020
32020
Recovdb: Accurate and efficient missing blocks recovery for large time series
I Arous, M Khayati, P Cudré-Mauroux, Y Zhang, M Kersten, S Stalinlov
2019 IEEE 35th International Conference on Data Engineering (ICDE), 1976-1979, 2019
32019
Accuracy evaluation of overlapping and multi-resolution clustering algorithms on large datasets
A Lutov, M Khayati, P Cudré-Mauroux
2019 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2019
32019
OpenCrowd: A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation
I Arous, J Yang, M Khayati, P Cudré-Mauroux
Proceedings of The Web Conference 2020, 1851-1862, 2020
22020
Daoc: Stable clustering of large networks
A Lutov, M Khayati, P Cudré-Mauroux
2019 IEEE International Conference on Big Data (Big Data), 2373-2382, 2019
22019
Recovery of missing values using matrix decomposition techniques
M Khayati
University of Zurich, 2015
22015
Pervasive assistance system for mobile physicians on the road
M Khayati, J Akaichi
International Journal of Healthcare Technology and Management 10 (1-2), 82-100, 2009
22009
Scalable recovery of missing blocks in time series with high and low cross-correlations
M Khayati, P Cudré-Mauroux, MH Böhlen
Knowledge and Information Systems, 1-24, 2019
12019
FashionBrain Project: A Vision for Understanding Europe's Fashion Data Universe
A Checco, G Demartini, A Löser, I Arous, M Khayati, M Dantone, ...
arXiv preprint arXiv:1710.09788, 2017
12017
Scalable centroid decomposition
M Khayati, M Böhlen, J Gamper
Technical Report, 2013
12013
Similarity of chemotherapy histories based on imputed values
M Khayati, JM Anderson, MH Böhlen, J Gamper, M Mitterer
International Journal of Medical Engineering and Informatics 4 (3), 282-298, 2012
12012
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Articles 1–20