1 code implementation • IEEE 30th International Conference on Data Engineering (ICDE) 2017 • Mourad Khayati, Michael Böhlen, Johann Gamper
The Centroid Decomposition (CD) approximates the Singular Value Decomposition, but does not scale to long time series because of the quadratic space complexity of the sign vector computation.
no code implementations • 26 Oct 2017 • Alessandro Checco, Gianluca Demartini, Alexander Loeser, Ines Arous, Mourad Khayati, Matthias Dantone, Richard Koopmanschap, Svetlin Stalinov, Martin Kersten, Ying Zhang
A core business in the fashion industry is the understanding and prediction of customer needs and trends.
1 code implementation • 2018 IEEE International Conference on Data Mining Workshops (ICDMW) 2018 • Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux
There is a great diversity of clustering and community detection algorithms, which are key components of many data analysis and exploration systems.
1 code implementation • 35th IEEE International Conference on Data Engineering (ICDE) 2019 • Ines Arous, Mourad Khayati, Philippe Cudré-Mauroux, Ying Zhang, Martin Kersten, Svetlin Stalinlov
In this paper, we also compare the efficiency and accuracy of RECOVDB against state-of-the-art recovery systems.
1 code implementation • 19 Sep 2019 • Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux
Clustering is a crucial component of many data mining systems involving the analysis and exploration of various data.
1 code implementation • Big Data 2019 • Abdelouahab Khelifati, Mourad Khayati, Philippe Cudré-Mauroux
In this work, we demonstrate how one can leverage the correlation across several related time series streams to both drastically improve the compression efficiency and reduce the accuracy loss. We present a novel compression algorithm for time series streams called CORAD (CORelation-Aware compression of time series streams based on sparse Dictionary coding).
1 code implementation • Proceedings of the VLDB Endowment 2020 • Mourad Khayati, Alberto Lerner, Zakhar Tymchenko, Philippe Cudré-Mauroux
Recording sensor data is seldom a perfect process.
1 code implementation • Proceedings of the VLDB Endowment (PVLDB) 2020 • Mourad Khayati, Ines Arous, Zakhar Tymchenko, Philippe Cudré-Mauroux
In this paper, we introduce a new online recovery technique to recover multiple time series streams in linear time.