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hal-00950768v1  Conference papers
Florent MassegliaDoru TanasaBrigitte Trousse. Web Usage Mining: Sequential Pattern Extraction with a Very Low Support
Advanced Web Technologies and Applications: 6th Asia-Pacific Web Conference, APWeb 2004, Apr 2004, Hangzhou, China. pp.513--522, ⟨10.1007/978-3-540-24655-8_56⟩
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lirmm-00753791v1  Conference papers
Chongsheng ZhangFlorent MassegliaXiangliang Zhang. Modeling and Clustering Users with Evolving Profiles in Usage Streams
TIME'2012: 19th International Symposium on Temporal Representation and Reasoning, Sep 2012, United Kingdom. pp.133-140
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lirmm-00753807v1  Conference papers
Chongsheng ZhangFlorent MassegliaXiangliang Zhang. Discovering Highly Informative Feature Set Over High Dimensions
ICTAI: International Conference on Tools with Artificial Intelligence, Nov 2012, Athens, Greece. pp.1059-1064, ⟨10.1109/ICTAI.2012.149⟩
lirmm-00653732v1  Conference papers
Chongsheng ZhangFlorent MassegliaYves Lechevallier. ABS: The Anti Bouncing Model for Usage Data Streams
ICDM'10 : The 10th IEEE International Conference on Data Mining, Dec 2010, Sydney, Australia. pp.1169-1174, ⟨10.1109/ICDM.2010.91⟩
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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
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lirmm-00806676v1  Conference papers
Maximilien ServajeanEsther PacittiSihem Amer-YahiaPascal Neveu. Profile Diversity in Search and Recommendation
SRS: Social Recommender Systems (in conjunction WWW 2013), May 2013, Rio de Janeiro, Brazil. pp.973-980
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hal-02273257v1  Conference papers
Alexis JolyHervé GoëauChristophe BotellaStefan KahlMarion Poupard et al.  LifeCLEF 2019: Biodiversity Identification and Prediction Challenges
ECIR 2019 - 41st European Conference on IR Research, Apr 2019, Cologne, Germany. pp.275-282, ⟨10.1007/978-3-030-15719-7_37⟩
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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⟩
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lirmm-02265729v1  Conference papers
Boyan KolevReza AkbariniaRicardo Jimenez-PerisOleksandra LevchenkoFlorent 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
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lirmm-02265726v1  Conference papers
Oleksandra LevchenkoBoyan KolevDjamel-Edine YagoubiDennis ShashaThemis Palpanas et al.  Distributed Algorithms to Find Similar Time Series
ECML-PKDD 2019 - European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2019, Wurtzbourg, Germany
inria-00461391v1  Conference papers
Wei WangFlorent MassegliaThomas GuyetRené QuiniouMarie-Odile Cordier. A General Framework for Adaptive and Online Detection of Web attacks
18th International World Wide Web Conference - WWW 2009, Apr 2009, Madrid, Spain
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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
inria-00461843v1  Conference papers
Alice MarascuFlorent Masseglia. Mining Sequential Patterns from Temporal Streaming Data
First ECML/PKDD Workshop on Mining Spatio-Temporal Data (MSTD'05), held in conjunction with the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'05), Nov 2005, Porto, Portugal
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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
inria-00461877v1  Conference papers
Florent MassegliaPascal PonceletMaguelonne TeisseireAlice Marascu. Web Usage Mining: Extracting Unexpected Periods from Web Logs
IEEE 2nd Workshop on Temporal Data Mining (TDM'05). Held in conjunction with ICDM'05, Nov 2005, Houston, United States
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-00461781v1  Conference papers
Alice MarascuFlorent MassegliaYves Lechevallier. A Fast Approximation Strategy for Summarizing a Set of Streaming Time Series
ACM Symposium on Applied Computing, Mar 2010, Sierre, Switzerland
inria-00461827v1  Conference papers
Alice MarascuFlorent Masseglia. Parameterless Outlier Detection in Data Streams
ACM symposium on Applied Computing, Mar 2009, Honolulu, United States. pp.1491-1495
inria-00461876v1  Conference papers
Alice MarascuFlorent Masseglia. Mining Data Streams for Frequent Sequences Extraction
IEEE first Workshop on Mining Complex Data (MCD'05). Held in conjunction with ICDM'05, Nov 2005, Houston, United States
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lirmm-01162366v1  Conference papers
Reza AkbariniaFlorent Masseglia. Aggregation-Aware Compression of Probabilistic Streaming Time Series
MLDM: Machine Learning and Data Mining, Jul 2015, Hamburg, Germany. pp.232-247, ⟨10.1007/978-3-319-21024-7_16⟩
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hal-01911684v1  Conference papers
Mohamed BouadjenekEsther PacittiMaximilien ServajeanFlorent MassegliaAmr Abbadi. A Distributed Collaborative Filtering Algorithm Using Multiple Data Sources
DBKDA: Advances in Databases, Knowledge, and Data Applications, May 2018, Nice, France
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hal-01163819v1  Conference papers
Maximilien ServajeanEsther PacittiMiguel Liroz-GistauAlexis JolyJulien Champ. PlantRT : a Distributed Recommendation Tool for Citizen Science
BDA: Gestion de Données — Principes, Technologies et Applications, Oct 2014, Autrans, France. pp.48-50
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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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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-01091870v1  Conference papers
Reza AkbariniaFlorent Masseglia. Compression de flux de données probabilistes attentive à l'agrégation
BDA: Gestion de Données — Principes, Technologies et Applications, Oct 2014, Autrans, France