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lirmm-00838618v1  Conference papers
Reza AkbariniaFlorent Masseglia. Fast and Exact Mining of Probabilistic Data Streams
ECML-PKDD: Machine Learning and Knowledge Discovery in Databases, Sep 2013, Prague, Czech Republic. pp.493-508, ⟨10.1007/978-3-642-40988-2_32⟩
lirmm-01632355v1  Poster communications
Boyan KolevOleksandra LevchenkoFlorent MassegliaReza AkbariniaEsther Pacitti et al.  Highly Scalable Real-Time Analytics with CloudDBAppliance
XLDB: Extremely Large Databases Conference, Oct 2017, Clermont-Ferrand, France. 10th Extremely Large Databases Conference, 2017
hal-01136686v1  Conference papers
Tristan AllardGeorges HébrailFlorent MassegliaEsther Pacitti. Chiaroscuro: Transparency and Privacy for Massive Personal Time-Series Clustering
SIGMOD: International Conference on Management of Data, May 2015, Melbourne, Australia. pp.779-794, ⟨10.1145/2723372.2749453⟩
lirmm-00798705v1  Book sections
Goverdhan SinghFlorent MassegliaCéline FiotAlice MarascuPascal Poncelet. Mining Common Outliers for Intrusion Detection
Fabrice Guillet; Gilbert Ritschard; Djamel Abdelkader Zighed; Henri Briand. Advances in Knowledge Discovery and Management, 292, Springer, pp.217-234, 2010, Studies in Computational Intelligence, 978-3-642-00579-4. ⟨10.1007/978-3-642-00580-0_13⟩
lirmm-00430646v1  Conference papers
François TroussetPascal PonceletFlorent Masseglia. SAX: A Privacy Preserving General Purpose Method applied to Detection of Intrusions
ACM First International Workshop on Privacy and Anonymity for Very Large Datasets, join with CIKM 09, Nov 2009, Hong Kong, China. pp.17-24
lirmm-00430642v1  Book sections
Verma NischalFrançois TroussetPascal PonceletFlorent Masseglia. Intrusion Detections in Collaborative Organizations by Preserving Privacy
Fabrice Guillet and Gilbert Ritschard and Djamel Abdelkader Zighed and Henri Briand. Advances in Knowledge Discovery and Management, 292, Springer, pp.235-247, 2010, Studies in Computational Intelligence, 978-3-642-00579-4. ⟨10.1007/978-3-642-00580-0_14⟩
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-00461840v1  Conference papers
Florent MassegliaPascal PonceletMaguelonne TeisseireAlice Marascu. Web Usage Mining : extraction de périodes denses à partir des logs
EGC: Extraction et Gestion des Connaissances, Jan 2006, Lille, France. pp.403-408
lirmm-00273910v1  Conference papers
Céline FiotFlorent MassegliaAnne LaurentMaguelonne Teisseire. Gradual Trends in Fuzzy Sequential Patterns
IPMU: Information Processing and Management of Uncertainty in Knowledge-Based Systems, Jun 2008, Malaga, Spain. pp.456-463
lirmm-00273920v1  Conference papers
Céline FiotFlorent MassegliaAnne LaurentMaguelonne Teisseire. Des séquences aux tendances
INFORSID: INFormatique des ORganisations et Systèmes d’Information et de Décision, May 2008, Fontainebleau, France
lirmm-01620154v1  Conference papers
Djamel-Edine YagoubiReza AkbariniaFlorent MassegliaDennis Shasha. RadiusSketch: Massively Distributed Indexing of Time Series
DSAA: Data Science and Advanced Analytics, Oct 2017, Tokyo, Japan. pp.1-10
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⟩
lirmm-00913008v1  Patents
Renaud CezarDino IencoAndré MasFlorent MassegliaPascal Poncelet et al.  Process for identifying rare events
United States, Patent n° : US 20150363551 A1, WO 2014118343 A2, PCT/EP2014/051963. 2014
lirmm-01620354v1  Conference papers
Mehdi ZitouniReza AkbariniaSadok Ben YahiaFlorent Masseglia. Massively Distributed Environments and Closed Itemset Mining: The DCIM Approach
BDA: Gestion de Données — Principes, Technologies et Applications, Nov 2017, Nancy, France. pp.1-15
inria-00359182v1  Conference papers
Bashar SalehFlorent Masseglia. Time Aware Mining of Itemsets
TIME, Jun 2008, Montreal, Canada. pp.93-97, ⟨10.1109/TIME.2008.12⟩
lirmm-01886760v1  Conference papers
Oleksandra LevchenkoDjamel-Edine YagoubiReza AkbariniaFlorent MassegliaBoyan Kolev et al.  Spark-parSketch: A Massively Distributed Indexing of Time Series Datasets
CIKM: Conference on Information and Knowledge Management, Oct 2018, Turin, Italy. pp.1951-1954, ⟨10.1145/3269206.3269226⟩
hal-00504877v1  Conference papers
Chongsheng ZhangFlorent Masseglia. Extraction d'itemsets distinctifs dans les flux de données
Extraction et gestion des connaissances, Jan 2010, France. pp.187-198
lirmm-01411190v1  Conference papers
Saber SalahReza AkbariniaFlorent Masseglia. Mining Maximally Informative k-Itemsets in Massively Distributed Environments
BDA: Gestion de Données — Principes, Technologies et Applications, Nov 2016, Poitiers, France