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- Florent Masseglia
INRIA, France
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Publication search results
found 112 matches
- 2023
- Tanmoy Mondal, Reza Akbarinia, Florent Masseglia:
kNN matrix profile for knowledge discovery from time series. Data Min. Knowl. Discov. 37(3): 1055-1089 (2023) - Reza Akbarinia, Christophe Botella, Alexis Joly, Florent Masseglia, Marta Mattoso, Eduardo S. Ogasawara, Daniel de Oliveira, Esther Pacitti, Fábio Porto, Christophe Pradal, Dennis E. Shasha, Patrick Valduriez:
Life Science Workflow Services (LifeSWS): Motivations and Architecture. Trans. Large Scale Data Knowl. Centered Syst. 55: 1-24 (2023) - Lamia Djebour, Reza Akbarinia, Florent Masseglia:
Variable-Size Segmentation for Time Series Representation. Trans. Large Scale Data Knowl. Centered Syst. 53: 34-65 (2023) - Rebecca Salles, Janio Lima, Rafaelli Coutinho, Esther Pacitti, Florent Masseglia, Reza Akbarinia, Chao Chen, Jonathan M. Garibaldi, Fábio Porto, Eduardo S. Ogasawara:
SoftED: Metrics for Soft Evaluation of Time Series Event Detection. CoRR abs/2304.00439 (2023) - 2022
- Lamia Djebour, Reza Akbarinia, Florent Masseglia:
Parallel Techniques for Variable Size Segmentation of Time Series Datasets. ADBIS 2022: 148-162 - Lamia Djebour, Reza Akbarinia, Florent Masseglia:
Variable size segmentation for efficient representation and querying of non-uniform time series datasets. SAC 2022: 395-402 - 2021
- Oleksandra Levchenko, Boyan Kolev, Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas, Dennis E. Shasha, Patrick Valduriez:
BestNeighbor: efficient evaluation of kNN queries on large time series databases. Knowl. Inf. Syst. 63(2): 349-378 (2021) - Heraldo Borges, Reza Akbarinia, Florent Masseglia:
Anomaly Detection in Time Series. Trans. Large Scale Data Knowl. Centered Syst. 50: 46-62 (2021) - 2020
- Asma Belhadi, Youcef Djenouri, Kjetil Nørvåg, Heri Ramampiaro, Florent Masseglia, Jerry Chun-Wei Lin:
Space-time series clustering: Algorithms, taxonomy, and case study on urban smart cities. Eng. Appl. Artif. Intell. 95: 103857 (2020) - Heraldo Borges, Murillo Dutra, Amin Bazaz, Rafaelli Coutinho, Fabio Perosi, Fábio Porto, Florent Masseglia, Esther Pacitti, Eduardo S. Ogasawara:
Spatial-time motifs discovery. Intell. Data Anal. 24(5): 1121-1140 (2020) - Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas:
Massively Distributed Time Series Indexing and Querying. IEEE Trans. Knowl. Data Eng. 32(1): 108-120 (2020) - Khadidja Meguelati, Benedicte Fontez, Nadine Hilgert, Florent Masseglia, Isabelle Sanchez:
Massively Distributed Clustering via Dirichlet Process Mixture. ECML/PKDD (5) 2020: 536-540 - Sara Scaramuccia, Simon Nanty, Florent Masseglia:
Feedback Clustering for Online Travel Agencies Searches: a Case Study. CoRR abs/2007.07073 (2020) - 2019
- Khadidja Meguelati, Benedicte Fontez, Nadine Hilgert, Florent Masseglia:
High Dimensional Data Clustering by means of Distributed Dirichlet Process Mixture Models. IEEE BigData 2019: 890-899 - Boyan Kolev, Reza Akbarinia, Ricardo Jiménez-Peris, Oleksandra Levchenko, Florent Masseglia, Marta Patiño, Patrick Valduriez:
Parallel Streaming Implementation of Online Time Series Correlation Discovery on Sliding Windows with Regression Capabilities. CLOSER 2019: 681-687 - Boyan Kolev, Reza Akbarinia, Ricardo Jiménez-Peris, Oleksandra Levchenko, Florent Masseglia, Marta Patiño, Patrick Valduriez:
Pipelined Implementation of a Parallel Streaming Method for Time Series Correlation Discovery on Sliding Windows. DATA 2019: 431-436 - Khadidja Meguelati, Benedicte Fontez, Nadine Hilgert, Florent Masseglia:
Massively Distributed Dirichlet Process Mixture Models. INFORSID 2019: 221-222 - Oleksandra Levchenko, Boyan Kolev, Djamel Edine Yagoubi, Dennis E. Shasha, Themis Palpanas, Patrick Valduriez, Reza Akbarinia, Florent Masseglia:
Distributed Algorithms to Find Similar Time Series. ECML/PKDD (3) 2019: 781-785 - Khadidja Meguelati, Benedicte Fontez, Nadine Hilgert, Florent Masseglia:
Dirichlet process mixture models made scalable and effective by means of massive distribution. SAC 2019: 502-509 - Corinne Atlan, Jean-Pierre Archambault, Olivier Banus, Frédéric Bardeau, Amélie Blandeau, Antonin Cois, Martine Courbin, Gérard Giraudon, Saint-Clair Lefèvre, Valérie Letard, Bastien Masse, Florent Masseglia, Benjamin Ninassi, Sophie de Quatrebarbes, Margarida Romero, Didier Roy, Thierry Viéville:
Apprentissage de la pensée informatique : de la formation des enseignant·e·s à la formation de tou·te·s les citoyen·ne·s. CoRR abs/1906.00647 (2019) - 2018
- Djamel Edine Yagoubi, Reza Akbarinia, Boyan Kolev, Oleksandra Levchenko, Florent Masseglia, Patrick Valduriez, Dennis E. Shasha:
ParCorr: efficient parallel methods to identify similar time series pairs across sliding windows. Data Min. Knowl. Discov. 32(5): 1481-1507 (2018) - Oleksandra Levchenko, Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Boyan Kolev, Dennis E. Shasha:
Spark-parSketch: A Massively Distributed Indexing of Time Series Datasets. CIKM 2018: 1951-1954 - Riccardo Campisano, Heraldo Borges, Fábio Porto, Fabio Perosi, Esther Pacitti, Florent Masseglia, Eduardo S. Ogasawara:
Discovering Tight Space-Time Sequences. DaWaK 2018: 247-257 - Mehdi Zitouni, Reza Akbarinia, Sadok Ben Yahia, Florent Masseglia:
Maximally informative k-itemset mining from massively distributed data streams. SAC 2018: 502-509 - Patrick Valduriez, Marta Mattoso, Reza Akbarinia, Heraldo Borges, José J. Camata, Alvaro L. G. A. Coutinho, Daniel Gaspar, Noel Moreno Lemus, Ji Liu, Hermano Lustosa, Florent Masseglia, Fabrício Nogueira da Silva, Vítor Silva, Renan Souza, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Daniel de Oliveira, Esther Pacitti, Fábio Porto, Dennis E. Shasha:
Scientific Data Analysis Using Data-Intensive Scalable Computing: The SciDISC Project. LADaS@VLDB 2018: 1-8 - Mohamed Reda Bouadjenek, Esther Pacitti, Maximilien Servajean, Florent Masseglia, Amr El Abbadi:
A Distributed Collaborative Filtering Algorithm Using Multiple Data Sources. CoRR abs/1807.05853 (2018) - 2017
- Saber Salah, Reza Akbarinia, Florent Masseglia:
A highly scalable parallel algorithm for maximally informative k-itemset mining. Knowl. Inf. Syst. 50(1): 1-26 (2017) - Saber Salah, Reza Akbarinia, Florent Masseglia:
Data placement in massively distributed environments for fast parallel mining of frequent itemsets. Knowl. Inf. Syst. 53(1): 207-237 (2017) - Mehdi Zitouni, Reza Akbarinia, Sadok Ben Yahia, Florent Masseglia:
Massively Distributed Environments and Closed Itemset Mining: The DCIM Approach. CAiSE 2017: 231-246 - Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Dennis E. Shasha:
RadiusSketch: Massively Distributed Indexing of Time Series. DSAA 2017: 262-271
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