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lirmm-00838618v1  Conference papers
Reza Akbarinia, Florent Masseglia. Fast and Exact Mining of Probabilistic Data Streams
ECML PKDD 2013 - Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2013, Prague, Czech Republic. pp.493-508, ⟨10.1007/978-3-642-40988-2_32⟩
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hal-01999453v1  Conference papers
Khadidja Meguelati, Bénédicte Fontez, Nadine Hilgert, Florent Masseglia. Dirichlet Process Mixture Models made Scalable and Effective by means of Massive Distribution
SAC 2019 - 34th ACM/SIGAPP Symposium on Applied Computing, Apr 2019, Limassol, Cyprus. pp.502-509, ⟨10.1145/3297280.3297327⟩
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lirmm-02364411v1  Conference papers
Khadidja Meguelati, Bénédicte Fontez, Nadine Hilgert, Florent Masseglia. High Dimensional Data Clustering by means of Distributed Dirichlet Process Mixture Models
IEEE Big Data 2019 - IEEE International Conference on Big Data, Dec 2019, Los-Angeles, United States
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inria-00359206v2  Conference papers
Goverdhan Singh, Florent Masseglia, Céline Fiot, Alice Marascu, Pascal Poncelet. Data Mining for Intrusion Detection: from Outliers to True Intrusions
PAKDD 2009 - 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Apr 2009, Bankok, Thailand. pp.891-898, ⟨10.1007/978-3-642-01307-2_93⟩
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lirmm-02265729v1  Conference papers
Boyan Kolev, Reza Akbarinia, Ricardo Jimenez-Peris, Oleksandra Levchenko, Florent Masseglia et al.  Parallel Streaming Implementation of Online Time Series Correlation Discovery on Sliding Windows with Regression Capabilities
CLOSER 2019 - 9th International Conference on Cloud Computing and Services Science, May 2019, Heraklion, Greece. pp.681-687, ⟨10.5220/0007843806810687⟩
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lirmm-01886794v1  Journal articles
Djamel-Edine Yagoubi, Reza Akbarinia, Boyan Kolev, Oleksandra Levchenko, Florent Masseglia et al.  ParCorr: efficient parallel methods to identify similar time series pairs across sliding windows
Data Mining and Knowledge Discovery, Springer, 2018, 32 (5), pp.1481-1507. ⟨10.1007/s10618-018-0580-z⟩
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lirmm-01620383v1  Journal articles
Saber Salah, Reza Akbarinia, Florent Masseglia. Data placement in massively distributed environments for fast parallel mining of frequent itemsets
Knowledge and Information Systems (KAIS), Springer, 2017, 53 (1), pp.207-237. ⟨10.1007/s10115-017-1041-5⟩
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hal-00106798v1  Conference papers
Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire. Peer-to-Peer Usage Analysis: a Distributed Mining Approach
AINA: Advanced Information Networking and Applications, 2006, Vienna, Austria
inria-00461839v1  Conference papers
Alice Marascu, Florent Masseglia. Classification de flots de séquences basée sur une approche centroïde
INFORSID, Informatique des organisations et systèmes d'information et de décision, Jun 2006, Hammamet, Tunisie
inria-00461880v1  Conference papers
Alice Marascu, Florent Masseglia. Classification de flots de séquences basée sur une approche centroïde
Fouille de données complexes dans un processus d'extraction de connaissances, Jan 2006, Lille, France. pp.131-139
inria-00461831v1  Conference papers
Alice Marascu, Florent Masseglia. A Multi-Resolution Approach for Atypical Behaviour Mining
Pacific-Asia Conference on Knowledge Discovery and Data Mining, Apr 2009, Bangkok, Thailand. pp.899-906, ⟨10.1007/978-3-642-01307-2⟩
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lirmm-00272632v1  Journal articles
Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire. Efficient Mining of Sequential Patterns with Time Constraints: Reducing the Combinations
Expert Systems with Applications, Elsevier, 2009, 36 (2), pp.2677-2690. ⟨10.1016/j.eswa.2008.01.021⟩
inria-00461834v1  Conference papers
Alice Marascu, Florent Masseglia, Yves Lechevallier. REGLO: une nouvelle stratégie pour résumer un flux de séries temporelles
Extraction et Gestion des Connaissances, Jan 2010, Hammamet, Tunisie
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lirmm-03036910v1  Conference papers
Khadidja Meguelati, Bénédicte Fontez, Nadine Hilgert, Florent Masseglia, Isabelle Sanchez. Massively Distributed Clustering via Dirichlet Process Mixture
ECML PKDD 2020 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2020, Ghent / Virtual, Belgium. ⟨10.1007/978-3-030-67670-4_34⟩
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hal-02899789v1  Journal articles
Maxime Metz, Matthieu Lesnoff, Florent Abdelghafour, Reza Akbarinia, Florent Masseglia et al.  A “big-data” algorithm for KNN-PLS
Chemometrics and Intelligent Laboratory Systems, Elsevier, 2020, 203, pp.104076. ⟨10.1016/j.chemolab.2020.104076⟩
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hal-00804915v1  Reports
Antoine Rousseau, Aurélie Darnaud, Brice Goglin, Céline Acharian, Christine Leininger et al.  Médiation Scientifique : une facette de nos métiers de la recherche
[Interne] Inria. 2013, pp.34
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lirmm-01620125v1  Conference papers
Djamel-Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas. DPiSAX: Massively Distributed Partitioned iSAX
ICDM: International Conference on Data Mining, Nov 2017, New Orleans, United States. pp.1135-1140, ⟨10.1109/ICDM.2017.151⟩
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lirmm-01867804v1  Conference papers
Patrick Valduriez, Marta Mattoso, Reza Akbarinia, Heraldo Borges, José Camata et al.  Scientific Data Analysis Using Data-Intensive Scalable Computing: the SciDISC Project
LADaS: Latin America Data Science Workshop, Aug 2018, Rio de Janeiro, Brazil
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hal-01154767v1  Conference papers
Marie Duflot, Martin Quinson, Florent Masseglia, Didier Roy, Julien Vaubourg et al.  When sharing computer science with everyone also helps avoiding digital prejudices
SCRATCH, Aug 2015, Amsterdam, Netherlands
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lirmm-03359500v1  Journal articles
Heraldo Borges, Reza Akbarinia, Florent Masseglia. Anomaly Detection in Time Series
Transactions on Large-Scale Data- and Knowledge-Centered Systems, Springer Berlin / Heidelberg, In press
lirmm-00830923v1  Conference papers
Chongsheng Zhang, Yuan Hao, Mirjana Mazuran, Carlo Zaniolo, Hamid Mousavi et al.  Mining frequent itemsets over tuple-evolving data streams
SAC: Symposium on Applied Computing, Mar 2013, Coimbra, Portugal. pp.267-274, ⟨10.1145/2480362.2480419⟩
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hal-00640214v1  Conference papers
François Petitjean, Florent Masseglia, Pierre Gançarski. Découverte de motifs d'évolution significatifs dans les séries temporelles d'images satellites
EGC: Extraction et Gestion des Connaissances, Jan 2011, Brest, France. pp.665-676
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lirmm-03036868v1  Journal articles
Asma Belhadi, Youcef Djenouri, Kjetil Nørvåg, Heri Ramampiaro, Florent Masseglia et al.  Space Time Series Clustering: Algorithms, Taxonomy, and Case Study on Urban Smart Cities
Engineering Applications of Artificial Intelligence, Elsevier, 2020, 95, pp.#103857. ⟨10.1016/j.engappai.2020.103857⟩
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lirmm-01171555v1  Conference papers
Saber Salah, Reza Akbarinia, Florent Masseglia. Optimizing the Data-Process Relationship for Fast Mining of Frequent Itemsets in MapReduce
MLDM: Machine Learning and Data Mining, Jul 2015, Hamburg, Germany. pp.217-231, ⟨10.1007/978-3-319-21024-7_15⟩
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hal-01925965v1  Conference papers
Riccardo Campisano, Heraldo Borges, Fábio Porto, Fabio Perosi, Esther Pacitti et al.  Discovering Tight Space-Time Sequences
DaWaK: Data Warehousing and Knowledge Discovery, Sep 2018, Regensburg, Germany. pp.247-257, ⟨10.1007/978-3-319-98539-8_19⟩
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