1. Search
89 results  save search
lirmm-00838618v1  Conference papers
Reza Akbarinia, Florent 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 Kolev, Oleksandra Levchenko, Florent Masseglia, Reza Akbarinia, Esther 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 Allard, Georges Hébrail, Florent Masseglia, Esther 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-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⟩
...
lirmm-00798705v1  Book sections
Goverdhan Singh, Florent Masseglia, Céline Fiot, Alice Marascu, Pascal 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-00907893v1  Conference papers
Enikö Székely, Pascal Poncelet, Florent Masseglia, Maguelonne Teisseire, Renaud Cezar. A Density-Based Backward Approach to Isolate Rare Events in Large-Scale Applications
DS: Discovery Science, Oct 2013, Singapore, Singapore. pp.249-264, ⟨10.1007/978-3-642-40897-7_17⟩
...
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 Symposium On Applied Computing, Apr 2019, Limassol, Cyprus. pp.502-509, ⟨10.1145/3297280.3297327⟩
...
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
...
lirmm-00430646v1  Conference papers
François Trousset, Pascal Poncelet, Florent 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 Nischal, François Trousset, Pascal Poncelet, Florent 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⟩
...
lirmm-00204872v2  Journal articles
Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire, Alice Marascu. Web Usage Mining: Extracting Unexpected Periods from Web Logs
Data Mining and Knowledge Discovery, Springer, 2008, 16 (1), pp.039-065. ⟨10.1007/s10618-007-0080-z⟩
...
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-00461840v1  Conference papers
Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire, Alice 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 Fiot, Florent Masseglia, Anne Laurent, Maguelonne 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 Fiot, Florent Masseglia, Anne Laurent, Maguelonne 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 Yagoubi, Reza Akbarinia, Florent Masseglia, Dennis 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 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⟩
lirmm-00913008v1  Patents
Renaud Cezar, Dino Ienco, André Mas, Florent Masseglia, Pascal Poncelet et al.  Process for identifying rare events
United States, Patent n° : US 20150363551 A1, WO 2014118343 A2, PCT/EP2014/051963. 2014
...
lirmm-01620238v1  Conference papers
Mehdi Zitouni, Reza Akbarinia, Sadok Ben Yahia, Florent Masseglia. Massively Distributed Environments and Closed Itemset Mining: The DCIM Approach
CAiSE: Advanced Information Systems Engineering, Jun 2017, Essen, Germany. pp.231-246, ⟨10.1007/978-3-319-59536-8_15⟩
...
lirmm-01620354v1  Conference papers
Mehdi Zitouni, Reza Akbarinia, Sadok Ben Yahia, Florent 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
...
lirmm-01169606v1  Conference papers
Mehdi Zitouni, Reza Akbarinia, Sadok Ben Yahia, Florent Masseglia. A Prime Number Based Approach for Closed Frequent Itemset Mining in Big Data
DEXA: Database and Expert Systems Applications, Sep 2015, Valencia, Spain. pp.509-516, ⟨10.1007/978-3-319-22849-5_35⟩
...
lirmm-01169603v1  Conference papers
Saber Salah, Reza Akbarinia, Florent Masseglia. Data Partitioning for Fast Mining of Frequent Itemsets in Massively Distributed Environments
DEXA: Database and Expert Systems Applications, Sep 2015, Valencia, Spain. pp.303-318, ⟨10.1007/978-3-319-22849-5_21⟩
...
inria-00359182v1  Conference papers
Bashar Saleh, Florent Masseglia. Time Aware Mining of Itemsets
TIME, Jun 2008, Montreal, Canada. pp.93-97, ⟨10.1109/TIME.2008.12⟩
...
lirmm-01886760v1  Conference papers
Oleksandra Levchenko, Djamel-Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Boyan 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 Zhang, Florent 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 Salah, Reza Akbarinia, Florent Masseglia. Mining Maximally Informative k-Itemsets in Massively Distributed Environments
BDA: Gestion de Données — Principes, Technologies et Applications, Nov 2016, Poitiers, France

Contact

CCSD