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PP
Pascal Poncelet
39
Documents
Identifiants chercheurs
- pascal-poncelet
- 0000-0002-8277-3490
- IdRef : 069260613
Présentation
Je suis Professeur à l'[Université deŽ Montpellier](http://www.umontpellier.fr/)
Je suis actuellement Responsable du groupe de recherche autour de la Fouille de Données (projet [Advanse](http://www.lirmm.fr/recherche/equipes/advanse))
Depuis 1996, je m'intéresse aux problèmes du KDD (Knowledge Discovery in Databases / Extraction de Connaissances dans les Bases de Données) et plus particulièrement sur la définition de nouveaux algorithmes liés à l'extraction de différents types de motifs (séquences, arbres, graphes).
Vous pouvez consulter mon site internet ici : [http://www.lirmm.fr/~poncelet/ ](http://www.lirmm.fr/~poncelet/)
Voici quelques unes de mes thématiques de recherche : Incremental mining, Data streams, Schema mining, Privacy mining, Time constraint, Pattern Mining, Opinion Mining, Web Usage Mining, Semantic Web, Text Mining, DNA array mining, Text Mining, Sensor Mining, Trajectory mining, Tweet Mining, Spatio-Temporal Mining, etc.
Publications
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Visual Querying of Large Multilayer GraphsSSDBM: Scientific and Statistical Database Management, Jul 2018, Bozen-Bolzano, Italy. pp.32-34, ⟨10.1145/3221269.3223027⟩
Communication dans un congrès
lirmm-01847422v1
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Node-Centric Community Detection in Multilayer Networks with Layer-Coverage Diversification BiasCompleNet, Mar 2017, Dubrovnik, Croatia. pp.57-66, ⟨10.1007/978-3-319-54241-6_5⟩
Communication dans un congrès
lirmm-01912004v1
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SuMGra: Querying Multigraphs via Efficient IndexingDEXA 2016 - 27th International Conference on Database and Expert Systems Applications, Sep 2016, Porto, Portugal. pp.387-401, ⟨10.1007/978-3-319-44403-1_24⟩
Communication dans un congrès
lirmm-01362431v1
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Local community detection in multilayer networksASONAM, Aug 2016, San Francisco, United States. pp.1382-1383
Communication dans un congrès
hal-02605181v1
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RetweetPatterns: Detection of Spatio-Temporal Patterns of Retweets4th World Conference on Information Systems and Technologies (WorldCIST), Mar 2016, Recife, Brazil. pp.879-888, ⟨10.1007/978-3-319-31232-3_83⟩
Communication dans un congrès
lirmm-01362428v1
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Querying RDF Data Using A Multigraph-based ApproachEDBT 2016 - 19th International Conference on Extending Database Technology, Mar 2016, Bordeaux, France. pp.245-256, ⟨10.5441/002/edbt.2016.24⟩
Communication dans un congrès
lirmm-01245146v1
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Multilayer Graph Edge BundlingIEEE Pacific Visualization Symposium (PacificVis), Apr 2016, Taipei, Taiwan. pp.184-188, ⟨10.1109/PACIFICVIS.2016.7465267⟩
Communication dans un congrès
lirmm-01304602v1
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Layer-Centered Approach for Multigraphs Visualization19th International Conference Information Visualisation (IV), Jul 2015, Barcelone, Spain. pp.50-55, ⟨10.1109/iv.2015.20⟩
Communication dans un congrès
lirmm-01275379v1
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Mining Multi-Relational Gradual PatternsSDM 2015 - 15th SIAM International Conference on Data Mining, Apr 2015, Vancouver, Canada. pp.846-854, ⟨10.1137/1.9781611974010.95⟩
Communication dans un congrès
lirmm-01239187v1
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Towards the use of sequential patterns for detection and characterization of natural and agricultural areas15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), Jul 2014, Montpellier, France. pp.97-106, ⟨10.1007/978-3-319-08795-5_11⟩
Communication dans un congrès
hal-02600411v1
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Contextual Itemset Mining in DBpediaLD4KD: Linked Data for Knowledge Discovery, Sep 2014, Nancy, France. pp.27-36
Communication dans un congrès
lirmm-01076887v1
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Détection de changements dans des flots de données qualitatives14e Journées Internationales Francophones sur l'Extraction et la Gestion des Connaissances (EGC), Jan 2014, Rennes, France. pp.517-520
Communication dans un congrès
hal-01556565v1
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Exploring high repetitivity remote sensing time series for mapping and monitoring natural habitats — A new approach combining OBIA and k-partite graphsIEEE International Symposium on Geoscience and Remote Sensing (IGARSS), Jul 2014, Quebec City, Canada. pp.3930-3933, ⟨10.1109/IGARSS.2014.6947344⟩
Communication dans un congrès
hal-02108532v1
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Change detection in categorical evolving data streams29th Annual ACM Symposium on Applied Computing (SAC), Mar 2014, Gyeongju, South Korea. pp.792-797, ⟨10.1145/2554850.2554864⟩
Communication dans un congrès
hal-02600407v1
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Knowledge-free table summarization15th International Conference, DaWaK 2013, Aug 2013, Prague, Czech Republic. pp.122-133, ⟨10.1007/978-3-642-40131-2_11⟩
Communication dans un congrès
hal-02599585v1
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Mining Representative Movement Patterns through CompressionPAKDD 2013 - 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Apr 2013, Gold Coast, Australia. pp.314-326, ⟨10.1007/978-3-642-37453-1_26⟩
Communication dans un congrès
lirmm-00798072v1
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Mining Fuzzy Moving Object ClustersADMA 2012 - 8th International Conference on Advanced Data Mining and Applications, Dec 2012, Nanjing, China. pp.100-114, ⟨10.1007/978-3-642-35527-1_9⟩
Communication dans un congrès
lirmm-00798148v1
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Vers une méthode automatique de construction de hiérarchies contextuellesEGC: Extraction et Gestion des Connaissances, 2012, Bordeaux, France. pp.335-346
Communication dans un congrès
lirmm-00798254v1
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How to Extract Relevant Knowledge from Tweets?International Workshop on Information Search, Integration, and Personalization (ISIP), Oct 2012, Sapporo, Japan. pp.111-120, ⟨10.1007/978-3-642-40140-4_12⟩
Communication dans un congrès
lirmm-00798662v1
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Healthcare trajectory mining by combining multidimensional component and itemsetsECML-PKDD 2012, Sep 2012, Bristol, United Kingdom. p. 116 - p. 127
Communication dans un congrès
hal-00801813v1
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Towards an Automatic Construction of Contextual Attribute-Value Taxonomies27th International Symposium on Applied Computing (SAC), Mar 2012, Riva del Garda, Trento, Italy. pp.113-118, ⟨10.1145/2245276.2245301⟩
Communication dans un congrès
lirmm-00798075v1
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Extracting Trajectories through an Efficient and Unifying Spatio-Temporal Patten Mining SystemECML PKDD 2012 - Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2012, Bristol, United Kingdom. pp.820-823, ⟨10.1007/978-3-642-33486-3_55⟩
Communication dans un congrès
lirmm-00732662v1
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Mining Time Relaxed Gradual Moving Object Clusters20th ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL), Nov 2012, Redondo Beach, United States. pp.478-481, ⟨10.1145/2424321.2424394⟩
Communication dans un congrès
lirmm-00798076v1
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French Presidential Elections: What are the most Efficient Measures for Tweets?PLEAD: Proceedings of the Workshop Politics, Elections and Data, 2012, Maui, United States. pp.23-30, ⟨10.1145/2389661.2389669⟩
Communication dans un congrès
lirmm-00801028v1
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Healtcare Trajectory Mining by Combining Multi-dimensional Component and ItemsetsNFMCP: New Frontiers in Mining Complex Patterns, Sep 2012, Bristol, United Kingdom. ⟨10.1007/978-3-642-37382-4_8⟩
Communication dans un congrès
lirmm-00732661v1
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Visual Querying and Exploring of Large Multilayer GraphsVIS, Oct 2018, Berlin, Germany. IEEE, Conference on Scientific Visualization, Information Visualization and Visual Analytics, 2018
Poster de conférence
lirmm-01912384v1
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Querying RDF Data: A Multigraph Based ApproachOlivier Pivert. NoSQL Data Models • Trends and Challenges, 1, ISTE–WILEY, 2018, Base de données et Big Data • Databases and Big Data, 9781786303646. ⟨10.1002/9781119528227.ch5⟩
Chapitre d'ouvrage
lirmm-01910660v1
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Process for identifying rare eventsUnited States, Patent n° : EP13153512A; EP2014051963W. 2013
Brevet
lirmm-00913008v1
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Presidential Election 2012: How French politicians tweet?RR-12011, 2012
Rapport
lirmm-00688651v1
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