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lirmm-00838618v1  Conference papers
Reza AkbariniaFlorent 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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lirmm-02364411v1  Conference papers
Khadidja MeguelatiBénédicte FontezNadine HilgertFlorent 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 SinghFlorent MassegliaCéline FiotAlice MarascuPascal 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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hal-00106798v1  Conference papers
Florent MassegliaPascal PonceletMaguelonne Teisseire. Peer-to-Peer Usage Analysis: a Distributed Mining Approach
AINA: Advanced Information Networking and Applications, 2006, Vienna, Austria
inria-00461839v1  Conference papers
Alice MarascuFlorent 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 MarascuFlorent 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 MarascuFlorent 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⟩
inria-00461834v1  Conference papers
Alice MarascuFlorent MassegliaYves 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 MeguelatiBénédicte FontezNadine HilgertFlorent MassegliaIsabelle 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 MetzMatthieu LesnoffFlorent AbdelghafourReza AkbariniaFlorent 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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lirmm-01620125v1  Conference papers
Djamel-Edine YagoubiReza AkbariniaFlorent MassegliaThemis 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 ValduriezMarta MattosoReza AkbariniaHeraldo BorgesJosé 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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lirmm-03359500v1  Journal articles
Heraldo BorgesReza AkbariniaFlorent 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 ZhangYuan HaoMirjana MazuranCarlo ZanioloHamid 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 PetitjeanFlorent MassegliaPierre 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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hal-01925965v1  Conference papers
Riccardo CampisanoHeraldo BorgesFábio PortoFabio PerosiEsther 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⟩