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PP
Pascal Poncelet
256
Documents
Researcher identifiers
pascal-poncelet
-
0000-0002-8277-3490
- IdRef : 069260613
Presentation
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.
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Comment déterminer les adjectifs d'opinion d'un domaine donnéDocument numérique - Revue des sciences et technologies de l'information. Série Document numérique, 2008, 11 (1-2), pp.37-61. ⟨10.3166/dn.11.1-2.37-61⟩
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Towards a new approach for mining frequent itemsets on data streamJournal of Intelligent Information Systems, 2007, 28 (1), pp.23-36. ⟨10.1007/s10844-006-0002-3⟩
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Extraction de motifs séquentiels. Problèmes et méthodesRevue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, 2004, 9 (3/4), pp.183-210. ⟨10.3166/isi.9.3-4.183-210⟩
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HDM: A Client/Server/Engine Architecture for Real Time Web Usage MiningKnowledge and Information Systems (KAIS), 2003, 5 (4), pp.439-465. ⟨10.1007/s10115-003-0097-6⟩
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Données semi-structurées. Découverte, maintenance et analyse de tendancesRevue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, 2003, 8 (5-6), pp.49-78. ⟨10.3166/isi.8.5-6.49-78⟩
Journal articles
lirmm-00269698v1
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Incremental Mining of Sequential Patterns in Large DatabasesData and Knowledge Engineering, 2003, 46 (1), pp.97-121. ⟨10.1016/S0169-023X(02)00209-4⟩
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Apprendre à classer des textes hospitaliers rédigés en anglais selon la classification CIM-9 avec une approche par budgetEGC 2023 - Extraction et Gestion des Connaissances, Jan 2023, Lyon, France. pp.337-344
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ICDiscovery : Aide à l'annotation par une méthode de budget pour le codage CIM-9 des textes hospitaliersEGC 2023 - Extraction et Gestion des Connaissances, Jan 2023, Lyon, France. pp.605-612
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Modélisation de parcours patients : graphes temporels pour la supervision médicaleEGC 2023 - Extraction et Gestion des Connaissances, Jan 2023, Lyon, France. pp.321-328
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RCAviz: Visualizing and Exploring Relational Conceptual StructuresCLA 2022 - 16th International Conference on Concept Lattices and Their Applications, Tallinn University of Technology, Jun 2022, Tallin, Estonia. pp.135-148
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Multiple Instance Learning Based on Mol2vec Molecular Substructure Embeddings for Discovery of NDM-1 InhibitorsPACBB 2022 - 16th International Conference on Practical Applications of Computational Biology and Bioinformatics, Jul 2022, L'Aquila, Italy. pp.55-66, ⟨10.1007/978-3-031-17024-9_6⟩
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Prediction of In-Hospital Mortality from Administrative Data: A Sequential Pattern Mining ApproachMIE 2021 - Medical Informatics Europe, May 2021, Nice, France
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Experimental Web Service and Eye-Tracking Setup for Unilateral Spatial Neglect AssessmentHCII 2019 - 21st International Conference on Human-Computer Interaction, Jul 2019, Orlando, FL, United States. pp.141-155, ⟨10.1007/978-3-030-22219-2_11⟩
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EpidNews : un explorateur de données épidémiologiques pour la surveillance des maladies animalesIC 2019 - 30es Journées francophones d'Ingénierie des Connaissances, AFIA, Jul 2019, Toulouse, France. pp.215-216
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Node Overlap Removal Algorithms: A Comparative StudyGD 2019 - 27th International Symposium on Graph Drawing and Network Visualization, Daniel Archambault; Csaba D. Tóth, Sep 2019, Prague, Czech Republic. pp.179-192, ⟨10.1007/978-3-030-35802-0_14⟩
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#AIDS Analyse Information Dangers Sexualité : caractériser les discours à propos du VIH dans les forums de santéIC: Ingénierie des Connaissances, AFIA, Jul 2018, Nancy, France. pp.71-86
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EpidNews: An Epidemiological News Explorer for Monitoring Animal DiseasesVINCI: Visual Information Communication and Interaction, Aug 2018, Växjö, Sweden. ⟨10.1145/3231622.3231624⟩
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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⟩
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Readitopics: Make Your Topic Models Readable via Labeling and BrowsingIJCAI: International Joint Conference on Artificial Intelligence, Jul 2018, Stockholm, Sweden
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United we stand: Using multiple strategies for topic labelingNLDB: Natural Language Processing and Information Systems, Jun 2018, Paris, France. pp.352-363, ⟨10.1007/978-3-319-91947-8_37⟩
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[Demo] Integration of text-and web-mining results in EpidVis23rd International Conference on Applications of Natural Language to Information Systems (NLDB), Jun 2018, Paris, France. pp.437-440, ⟨10.1007/978-3-319-91947-8_45⟩
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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⟩
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Quels évènements après un infarctus du myocarde ?SIIM: Symposium Ingénierie de l’Information Médicale, Nov 2017, Toulouse, France
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FrenchSentiClass : un Système Automatisé pour la Classification de Sentiments en FrançaisDEFT: Défi Fouille de Texte, Jun 2017, Orléans, France
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Node Overlap Removal for 1D Graph LayoutIV: Information Visualisation, Jul 2017, London, United Kingdom. pp.224-229, ⟨10.1109/iV.2017.14⟩
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Shallow Text Clustering Does Not Mean Weak Topics: How Topic Identification Can Leverage Bigram FeaturesDMNLP: Data Mining and Natural Language Processing, Sep 2016, Riva del Garda, Italy
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Communication Overload Management Through Social Interactions ClusteringSAC: Symposium on Applied Computing, Apr 2016, Pisa, Italy. pp.1166-1169, ⟨10.1145/2851613.2851984⟩
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Exploiting Social and Mobility Patterns for Friendship Prediction in Location-Based Social NetworksICPR: International Conference on Pattern Recognition, Dec 2016, Cancun, Mexico
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Local community detection in multilayer networksASONAM, Aug 2016, San Francisco, United States. pp.1382-1383
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SuMGra: Querying Multigraphs via Efficient IndexingDEXA: Database and Expert Systems Applications, Sep 2016, Porto, Portugal. pp.387-401, ⟨10.1007/978-3-319-44403-1_24⟩
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Multilayer Graph Edge BundlingIEEE Pacific Visualization Symposium (PacificVis), Apr 2016, Taipei, Taiwan. pp.184-188, ⟨10.1109/PACIFICVIS.2016.7465267⟩
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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⟩
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Dictionary-Based Sentiment Analysis Applied to a Specific DomainSIMBIg: Symposium on Information Management and Big Data, Sep 2016, Cusco, Peru. pp.57-68, ⟨10.1007/978-3-319-55209-5_5⟩
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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⟩
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ADVANSE: Sentiment, Opinion and Emotion Analysis in French TweetsDEFT: Défi Fouille de Texte, Jun 2015, Caen, France
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Assisting e-patients in an Ask the Doctor ServiceMIE: Medical Informatics Europe, May 2015, Madrid, Spain
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Mining Multi-Relational Gradual PatternsSDM: SIAM Data Mining, Apr 2015, Vancouver, Canada. pp.9, ⟨10.1137/1.9781611974010.95⟩
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Mesurer la proximité entre corpus par de nouveaux méta-descripteursCORIA: Conférence en Recherche d’Information et Applications, Mar 2015, Paris, France. pp.369-383
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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⟩
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Opinion Mining: Taking into account the criteria!SIMBig: Symposium on Information Management and Big Data, Sep 2015, Cusco, Peru. pp.17-18
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E-Patient reputation in Health ForumsMEDINFO: World Congress on Health and Biomedical Informatics, Aug 2015, São Paulo, Brazil. pp.137-141
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Detecting Epidemics Using Data Mining TechniquesTri-National Scientific Workshop Climate change: Observation, Analysis and Health, Oct 2015, Bogor, Indonesia
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Collaborative Content-Based Method for Estimating User Reputation in Online ForumsWISE 2015 - 16th International Conference on Web Information Systems Engineering, Nov 2015, Miami, United States. pp.292-299, ⟨10.1007/978-3-319-26187-4_26⟩
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Que ressentent les patients ?EGC: Extraction et Gestion des Connaissances, Jan 2014, Rennes, France. pp.449-454
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lirmm-01130711v1
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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⟩
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hal-02600407v1
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Identifier la cible des émotions dans les forums de santéIC: Ingénierie des Connaissances, May 2014, Clermont-Ferrand, France. pp.163-174
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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⟩
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hal-02108532v1
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HydroQual: Visual analysis of river water qualityVAST: Visual Analytics Science and Technology, Nov 2014, Paris, France. pp.123-132, ⟨10.1109/VAST.2014.7042488⟩
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lirmm-01275383v1
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Classification of Small Datasets: Why Using Class-Based Weighting Measures?ISMIS: International Symposium on Methodologies for Intelligent Systems, Jun 2014, Roskilde, Denmark. pp.345-354, ⟨10.1007/978-3-319-08326-1_35⟩
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lirmm-01054900v1
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Soft fusion of heterogeneous image time seriesInternational Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), Jul 2014, Montpellier, France. pp.67-76, ⟨10.1007/978-3-319-08795-5_8⟩
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hal-02601104v1
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Mining Representative Frequent Patterns in a Hierarchy of ContextsIDA: Advances in Intelligent Data Analysis, Oct 2014, Leuven, Belgium. pp.239-250, ⟨10.1007/978-3-319-12571-8_21⟩
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lirmm-01233519v1
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De nouvelles pondérations adaptées à la classification de petits volumes de données textuellesEGC: Extraction et Gestion des Connaissances, Jan 2014, Rennes, France. pp.131-142
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lirmm-01054903v1
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Analyse des messages des patients et des médecins dans les fora de santéAtelier IC & Santé, 2014, Clermont-Ferrand, France
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lirmm-01130737v1
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Evaluation of fusion methods for crop monitoring purposesIGARSS: International Geoscience and Remote Sensing Symposium, Jul 2014, Québec, Canada. pp.1429-1432, ⟨10.1109/IGARSS.2014.6946704⟩
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hal-01507098v1
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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⟩
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hal-02600411v1
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Contextual Itemset Mining in DBpediaLD4KD: Linked Data for Knowledge Discovery, Sep 2014, Nancy, France. pp.27-36
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Patient's rationale: Patient Knowledge retrieval from health forumseTELEMED: eHealth, Telemedicine, and Social Medicine, 2014, Barcelone, Spain
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lirmm-01130720v1
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Predicting Medical Roles in Online Health ForaSLSP: Statistical Language and Speech Processing, Oct 2014, Grenoble, France. pp.247-258, ⟨10.1007/978-3-319-11397-5_19⟩
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lirmm-01130749v1
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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
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hal-01556565v1
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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⟩
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hal-02599585v1
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A Density-Based Backward Approach to Isolate Rare Events in Large-Scale ApplicationsDS: Discovery Science, Oct 2013, Singapore, Singapore. pp.249-264, ⟨10.1007/978-3-642-40897-7_17⟩
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lirmm-00907893v1
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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⟩
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lirmm-00798072v1
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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⟩
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lirmm-00798662v1
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Opinion Extraction Applied to CriteriaDEXA: Database and Expert Systems Applications, Sep 2012, Vienna, Austria. pp.457-465, ⟨10.1007/978-3-642-32597-7_44⟩
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lirmm-00732663v1
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Extraction d'opinions appliquée à des critèresEGC: Extraction et Gestion des Connaissances, Jan 2012, Bordeaux, France. pp.453-458
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Vers une méthode automatique de construction de hiérarchies contextuellesEGC: Extraction et Gestion des Connaissances, 2012, Bordeaux, France. pp.335-346
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How and why exploit tweet's location information?AGILE International Conference on Geographic Information Science, AGILE: Association of Geographic Information Laboratories in Europe, Apr 2012, Avignon, France
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Epimining: Using Web News for Influenza SurveillanceDMHM: Data Mining for Healthcare Management, May 2012, Kuala Lumpur, Malaysia. pp.11-21
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Fuzzy Orderings for Fuzzy Gradual Dependencies: Efficient Storage of Concordance DegreesWCCI: World Congress on Computational Intelligence, Jun 2012, Brisbane, Australia. pp.1-8, ⟨10.1109/FUZZ-IEEE.2012.6251326⟩
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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⟩
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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⟩
Conference papers
lirmm-00801028v1
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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⟩
Conference papers
lirmm-00798076v1
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GET_MOVE: An Efficient and Unifying Spatio-Temporal Pattern Mining Algorithm for Moving Objects11th International Symposium on Intelligent Data Analysis (IDA), Oct 2012, Helsinski, Finland. pp.276-288, ⟨10.1007/978-3-642-34156-4_26⟩
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lirmm-00732660v1
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Segmentation des fichiers logsEGC: Extraction et Gestion des Connaissances, 2012, Bordeaux, France. pp.381-386
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lirmm-00798233v1
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Vers davantage de flexibilité et d'expressivité dans les hiérarchies contextuelles des entrepôts de donnéesEGC: Extraction et Gestion des Connaissances, Jan 2012, Bordeaux, France
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lirmm-00798260v1
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Enhancing Flexibility and Expressivity of Contextual HierarchiesFUZZ-IEEE, Jun 2012, Brisbane, QLD, Australia. pp.1-8, ⟨10.1109/FUZZ-IEEE.2012.6251176⟩
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lirmm-00798078v1
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Mining Fuzzy Moving Object Clusters8th International Conference on Advanced Data Mining and Applications (ADMA), Dec 2012, Nanjing, China. pp.100-114, ⟨10.1007/978-3-642-35527-1_9⟩
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lirmm-00798148v1
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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⟩
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An Efficient Spatio-Temporal Mining Approach to Really Know Who Travels with Whom!BDA 2012 - 28e journées Bases de Donnees Avancées, Oct 2012, Clermont-Ferrand, France
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lirmm-00798222v1
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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⟩
Conference papers
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Healthcare trajectory mining by combining multidimensional component and itemsetsECML-PKDD 2012, Sep 2012, Bristol, United Kingdom. p. 116 - p. 127
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