Online anomaly detection over big data streams L Rettig, M Khayati, P Cudré-Mauroux, M Piórkowski Applied Data Science: Lessons Learned for the Data-Driven Business, 289-312, 2019 | 138 | 2019 |
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 | 96 | 2020 |
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 | 32 | 2020 |
CORAD: correlation-aware compression of massive time series using sparse dictionary coding A Khelifati, M Khayati, P Cudré-Mauroux 2019 IEEE International Conference on Big Data (Big Data), 2289-2298, 2019 | 29 | 2019 |
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 | 27 | 2019 |
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 | 27 | 2014 |
ORBITS: Online Recovery of Missing Values in Multiple Time Series Streams M Khayati, I Arous, Z Tymchenko, P Cudré-Mauroux Proceedings of the VLDB Endowment 14, 294-306, 2020 | 20 | 2020 |
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 62 (6), 2257-2280, 2020 | 19 | 2020 |
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 | 19 | 2019 |
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 | 17 | 2018 |
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 | 16 | 2012 |
Peer grading the peer reviews: A dual-role approach for lightening the scholarly paper review process I Arous, J Yang, M Khayati, P Cudré-Mauroux Proceedings of the Web Conference 2021, 1916-1927, 2021 | 14 | 2021 |
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 | 14 | 2008 |
Missing value imputation in time series using top-k case matching K Wellenzohn, H Mitterer, J Gamper, M Böhlen, M Khayati Proceedings of the 26th GI-Workshop Grundlagen von Datenbanken, Bozen …, 2014 | 11 | 2014 |
Tsm-bench: Benchmarking time series database systems for monitoring applications A Khelifati, M Khayati, A Dignös, D Difallah, P Cudré-Mauroux Proceedings of the VLDB Endowment 16 (11), 3363-3376, 2023 | 10 | 2023 |
VADETIS: an explainable evaluator for anomaly detection techniques A Khelifati, M Khayati, P Cudré-Mauroux, A Hänni, Q Liu, M Hauswirth 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2661-2664, 2021 | 10 | 2021 |
Using lowly correlated time series to recover missing values in time series: a comparison between SVD and CD M Khayati, MH Böhlen, PC Mauroux Advances in Spatial and Temporal Databases: 14th International Symposium …, 2015 | 9 | 2015 |
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 | 8 | 2017 |
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 | 5 | 2016 |
Recovery of missing values using matrix decomposition techniques M Khayati University of Zurich, 2015 | 5 | 2015 |