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ORCIDMourad Khayati
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2020 – today
- 2024
[j8]Mourad Khayati, Quentin Nater, Jacques Pasquier:
ImputeVIS: An Interactive Evaluator to Benchmark Imputation Techniques for Time Series Data. Proc. VLDB Endow. 17(12): 4329-4332 (2024)- [j7]Luca Althaus, Mourad Khayati, Abdelouahab Khelifati, Anton Dignös, Djellel Eddine Difallah, Philippe Cudré-Mauroux:
SEER: An End-to-End Toolkit for Benchmarking Time Series Database Systems in Monitoring Applications. Proc. VLDB Endow. 17(12): 4361-4364 (2024) - 2023
- [j6]Abdelouahab Khelifati
, Mourad Khayati, Anton Dignös, Djellel Eddine Difallah, Philippe Cudré-Mauroux:
TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications. Proc. VLDB Endow. 16(11): 3363-3376 (2023) - 2021
- [c14]Abdelouahab Khelifati, Mourad Khayati, Philippe Cudré-Mauroux, Adrian Hänni, Qian Liu, Manfred Hauswirth:
VADETIS: An Explainable Evaluator for Anomaly Detection Techniques. ICDE 2021: 2661-2664 - [c13]Ines Arous, Jie Yang, Mourad Khayati, Philippe Cudré-Mauroux:
Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening the Scholarly Paper Review Process. WWW 2021: 1916-1927 - 2020
- [j5]Mourad Khayati, Philippe Cudré-Mauroux, Michael H. Böhlen:
Scalable recovery of missing blocks in time series with high and low cross-correlations. Knowl. Inf. Syst. 62(6): 2257-2280 (2020) - [j4]Mourad Khayati, Alberto Lerner, Zakhar Tymchenko, Philippe Cudré-Mauroux:
Mind the Gap: An Experimental Evaluation of Imputation of Missing Values Techniques in Time Series. Proc. VLDB Endow. 13(5): 768-782 (2020) - [j3]Mourad Khayati, Ines Arous, Zakhar Tymchenko, Philippe Cudré-Mauroux:
ORBITS: Online Recovery of Missing Values in Multiple Time Series Streams. Proc. VLDB Endow. 14(3): 294-306 (2020) - [c12]Ines Arous, Jie Yang, Mourad Khayati, Philippe Cudré-Mauroux:
OpenCrowd: A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation. WWW 2020: 1851-1862
2010 – 2019
- 2019
- [c11]Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux:
Accuracy Evaluation of Overlapping and Multi-Resolution Clustering Algorithms on Large Datasets. BigComp 2019: 1-8 - [c10]Abdelouahab Khelifati, Mourad Khayati, Philippe Cudré-Mauroux:
CORAD: Correlation-Aware Compression of Massive Time Series using Sparse Dictionary Coding. IEEE BigData 2019: 2289-2298 - [c9]Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux:
DAOC: Stable Clustering of Large Networks. IEEE BigData 2019: 2373-2382 - [c8]Ines Arous, Mourad Khayati, Philippe Cudré-Mauroux, Ying Zhang, Martin L. Kersten, Svetlin Stalinlov:
RecovDB: Accurate and Efficient Missing Blocks Recovery for Large Time Series. ICDE 2019: 1976-1979 - [p1]Laura Rettig, Mourad Khayati, Philippe Cudré-Mauroux, Michal Piórkowski:
Online Anomaly Detection over Big Data Streams. Applied Data Science 2019: 289-312 - [i6]Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux:
Clubmark: a Parallel Isolation Framework for Benchmarking and Profiling Clustering Algorithms on NUMA Architectures. CoRR abs/1902.00475 (2019) - [i5]Artem Lutov, Soheil Roshankish, Mourad Khayati, Philippe Cudré-Mauroux:
StaTIX - Statistical Type Inference on Linked Data. CoRR abs/1902.00490 (2019) - [i4]Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux:
Accuracy Evaluation of Overlapping and Multi-resolution Clustering Algorithms on Large Datasets. CoRR abs/1902.01691 (2019) - [i3]Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux:
DAOC: Stable Clustering of Large Networks. CoRR abs/1909.08786 (2019) - 2018
- [c7]Artem Lutov, Soheil Roshankish, Mourad Khayati, Philippe Cudré-Mauroux:
StaTIX - Statistical Type Inference on Linked Data. IEEE BigData 2018: 2253-2262 - [c6]Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux:
Clubmark: A Parallel Isolation Framework for Benchmarking and Profiling Clustering Algorithms on NUMA Architectures. ICDM Workshops 2018: 1481-1486 - 2017
- [i2]Alessandro Checco, Gianluca Demartini, Alexander Löser, Ines Arous, Mourad Khayati, Matthias Dantone, Richard Koopmanschap, Svetlin Stalinlov, Martin L. Kersten, Ying Zhang:
FashionBrain Project: A Vision for Understanding Europe's Fashion Data Universe. CoRR abs/1710.09788 (2017) - 2016
- [i1]Andrea Martini, Artem Lutov, Valerio Gemmetto, Andrii Magalich, Alessio Cardillo, Alex Constantin, Vasyl Palchykov, Mourad Khayati, Philippe Cudré-Mauroux, Alexey Boyarsky, Oleg Ruchayskiy, Diego Garlaschelli, Paolo De Los Rios, Karl Aberer:
ScienceWISE: Topic Modeling over Scientific Literature Networks. CoRR abs/1612.07636 (2016) - 2015
- [c5]Laura Rettig, Mourad Khayati, Philippe Cudré-Mauroux, Michal Piórkowski:
Online anomaly detection over Big Data streams. IEEE BigData 2015: 1113-1122 - [c4]Mourad Khayati, Michael H. Böhlen, Philippe Cudré-Mauroux:
Using Lowly Correlated Time Series to Recover Missing Values in Time Series: A Comparison Between SVD and CD. SSTD 2015: 237-254 - 2014
- [c3]Kevin Wellenzohn, Hannes Mitterer, Johann Gamper, Michael H. Böhlen, Mourad Khayati:
Missing Value Imputation in Time Series Using Top-k Case Matching. Grundlagen von Datenbanken 2014: 77-82 - [c2]Mourad Khayati, Michael H. Böhlen, Johann Gamper:
Memory-efficient centroid decomposition for long time series. ICDE 2014: 100-111 - 2012
- [j2]Mourad Khayati, Jay Martin Anderson, Michael H. Böhlen, Johann Gamper, Manfred Mitterer:
Similarity of chemotherapy histories based on imputed values. Int. J. Medical Eng. Informatics 4(3): 282-298 (2012) - [c1]Mourad Khayati, Michael H. Böhlen:
REBOM: Recovery of Blocks of Missing Values in Time Series. COMAD 2012: 44-55
2000 – 2009
- 2008
- [j1]Mourad Khayati, Jalel Akaichi:
Incremental approach for Continuous k-Nearest Neighbours queries on road. Int. J. Intell. Inf. Database Syst. 2(2): 203-221 (2008)
Coauthor Index
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