Mourad Khayati

According to our database, Mourad Khayati authored at least 25 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ImputeVIS: An Interactive Evaluator to Benchmark Imputation Techniques for Time Series Data.

Mourad Khayati, Quentin Nater, Jacques Pasquier

Proc. VLDB Endow., August, 2024

SEER: An End-to-End Toolkit for Benchmarking Time Series Database Systems in Monitoring Applications.

Luca Althaus, Mourad Khayati, Abdelouahab Khelifati, Anton Dignös, Djellel Eddine Difallah, Philippe Cudré-Mauroux

Proc. VLDB Endow., August, 2024

2023

TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications.

Abdelouahab Khelifati, Mourad Khayati, Anton Dignös, Djellel Eddine Difallah, Philippe Cudré-Mauroux

Proc. VLDB Endow., 2023

2021

Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening the Scholarly Paper Review Process.

Ines Arous, Jie Yang, Mourad Khayati, Philippe Cudré-Mauroux

Proceedings of the WWW '21: The Web Conference 2021, 2021

VADETIS: An Explainable Evaluator for Anomaly Detection Techniques.

Abdelouahab Khelifati, Mourad Khayati, Philippe Cudré-Mauroux, Adrian Hänni, Qian Liu, Manfred Hauswirth

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

Mind the Gap: An Experimental Evaluation of Imputation of Missing Values Techniques in Time Series.

Mourad Khayati, Alberto Lerner, Zakhar Tymchenko, Philippe Cudré-Mauroux

Proc. VLDB Endow., 2020

ORBITS: Online Recovery of Missing Values in Multiple Time Series Streams.

Mourad Khayati, Ines Arous, Zakhar Tymchenko, Philippe Cudré-Mauroux

Proc. VLDB Endow., 2020

Scalable recovery of missing blocks in time series with high and low cross-correlations.

Mourad Khayati, Philippe Cudré-Mauroux, Michael H. Böhlen

Knowl. Inf. Syst., 2020

OpenCrowd: A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation.

Ines Arous, Jie Yang, Mourad Khayati, Philippe Cudré-Mauroux

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019

RecovDB: Accurate and Efficient Missing Blocks Recovery for Large Time Series.

Ines Arous, Mourad Khayati, Philippe Cudré-Mauroux, Ying Zhang, Martin L. Kersten, Svetlin Stalinlov

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

DAOC: Stable Clustering of Large Networks.

Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

CORAD: Correlation-Aware Compression of Massive Time Series using Sparse Dictionary Coding.

Abdelouahab Khelifati, Mourad Khayati, Philippe Cudré-Mauroux

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Accuracy Evaluation of Overlapping and Multi-Resolution Clustering Algorithms on Large Datasets.

Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019

Online Anomaly Detection over Big Data Streams.

Laura Rettig, Mourad Khayati, Philippe Cudré-Mauroux, Michal Piórkowski

Proceedings of the Applied Data Science - Lessons Learned for the Data-Driven Business, 2019

2018

Clubmark: A Parallel Isolation Framework for Benchmarking and Profiling Clustering Algorithms on NUMA Architectures.

Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

StaTIX - Statistical Type Inference on Linked Data.

Artem Lutov, Soheil Roshankish, Mourad Khayati, Philippe Cudré-Mauroux

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

FashionBrain Project: A Vision for Understanding Europe's Fashion Data Universe.

Alessandro Checco, Gianluca Demartini, Alexander Löser, Ines Arous, Mourad Khayati, Matthias Dantone, Richard Koopmanschap, Svetlin Stalinlov, Martin L. Kersten, Ying Zhang

CoRR, 2017

2016

ScienceWISE: Topic Modeling over Scientific Literature Networks.

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

CoRR, 2016

2015

Using Lowly Correlated Time Series to Recover Missing Values in Time Series: A Comparison Between SVD and CD.

Mourad Khayati, Michael H. Böhlen, Philippe Cudré-Mauroux

Proceedings of the Advances in Spatial and Temporal Databases, 2015

Online anomaly detection over Big Data streams.

Laura Rettig, Mourad Khayati, Philippe Cudré-Mauroux, Michal Piórkowski

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

Memory-efficient centroid decomposition for long time series.

Mourad Khayati, Michael H. Böhlen, Johann Gamper

Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Missing Value Imputation in Time Series Using Top-k Case Matching.

Kevin Wellenzohn, Hannes Mitterer, Johann Gamper, Michael H. Böhlen, Mourad Khayati

Proceedings of the 26th GI-Workshop Grundlagen von Datenbanken, 2014

2012

Similarity of chemotherapy histories based on imputed values.

Mourad Khayati, Jay Martin Anderson, Michael H. Böhlen, Johann Gamper, Manfred Mitterer

Int. J. Medical Eng. Informatics, 2012

REBOM: Recovery of Blocks of Missing Values in Time Series.

Mourad Khayati, Michael H. Böhlen

Proceedings of the 18th International Conference on Management of Data, 2012

2008

Incremental approach for Continuous k-Nearest Neighbours queries on road.

Mourad Khayati, Jalel Akaichi

Int. J. Intell. Inf. Database Syst., 2008