Mourad Khayati

Orcid: 0000-0002-7512-7124

According to our database1, Mourad Khayati authored at least 23 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications.
Proc. VLDB Endow., 2023

2021
Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening the Scholarly Paper Review Process.
Proceedings of the WWW '21: The Web Conference 2021, 2021

VADETIS: An Explainable Evaluator for Anomaly Detection Techniques.
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.
Proc. VLDB Endow., 2020

ORBITS: Online Recovery of Missing Values in Multiple Time Series Streams.
Proc. VLDB Endow., 2020

Scalable recovery of missing blocks in time series with high and low cross-correlations.
Knowl. Inf. Syst., 2020

OpenCrowd: A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation.
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.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

DAOC: Stable Clustering of Large Networks.
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.
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.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019

Online Anomaly Detection over Big Data Streams.
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.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

StaTIX - Statistical Type Inference on Linked Data.
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.
CoRR, 2017

2016
ScienceWISE: Topic Modeling over Scientific Literature Networks.
CoRR, 2016

2015
Using Lowly Correlated Time Series to Recover Missing Values in Time Series: A Comparison Between SVD and CD.
Proceedings of the Advances in Spatial and Temporal Databases, 2015

Online anomaly detection over Big Data streams.
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.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Missing Value Imputation in Time Series Using Top-k Case Matching.
Proceedings of the 26th GI-Workshop Grundlagen von Datenbanken, 2014

2012
Similarity of chemotherapy histories based on imputed values.
Int. J. Medical Eng. Informatics, 2012

REBOM: Recovery of Blocks of Missing Values in Time Series.
Proceedings of the 18th International Conference on Management of Data, 2012

2008
Incremental approach for Continuous k-Nearest Neighbours queries on road.
Int. J. Intell. Inf. Database Syst., 2008


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