Pascal Poncelet
Présentation
Je suis Professeur à l'Université de Montpellier Vous pouvez consulter mon site internet ici : 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.
Je suis actuellement Responsable du groupe de recherche autour de la Fouille de Données (projet 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).
Publications
Publications
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How a task-blind adaptive VR system can improve users' task performance: an assisted immersive analytics use caseVRST 2025 - 31st ACM Symposium on Virtual Reality Software and Technology, Nov 2025, Montreal, Canada. pp.1-11, ⟨10.1145/3756884.3766032⟩ |
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Multivariate Time Series Visualization for a Single Individual: A Scoping Review Using PRISMA-ScRVISIGRAPP 2025 - 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Feb 2025, Porto, Portugal. pp.975-982, ⟨10.5220/0013373000003912⟩ |
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GLIMPSE-Med: Single-Screen Visualization of Multivariate Time Series for a Single IndividualVISIGRAPP 2025 - 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - IVAPP, Feb 2025, Porto, Portugal. pp.765-775, ⟨10.5220/0013373300003912⟩ |
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FCAvizIR: Exploring Relational Data Set’s Implications Using Metrics and TopicsCONCEPTS 2024 - 1st International Joint Conference on Conceptual Knowledge Structures, Universidad de Cádiz, Sep 2024, Cadiz, Spain. pp.132-148, ⟨10.1007/978-3-031-67868-4_10⟩ |
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Classifier Chains for LOINC TranscodingMIE 2024 - 34th Medical Informatics Europe Conference, Aug 2024, Athens, Greece. pp.1314-1318, ⟨10.3233/shti240654⟩ |
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Classifier Chains pour le codage LOINCJournée Santé et IA @PFIA2024, Jul 2024, La Rochelle, France |
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Apprendre à classer des textes hospitaliers rédigés en anglais selon la classification CIM-9 avec une approche par budgetEGC 2023 - 22e Conférence Extraction et Gestion des Connaissances, Jan 2023, Lyon, France. pp.337-344 |
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Learning to Classify Medical Discharge Summaries According to ICD-9MIE 2023 - 33rd Medical Informatics Europe Conference, European Federation for Medical Informatics (EFMI); Swedish Federation for Medical Informatics (SFMI), May 2023, Gothenburg, Sweden. pp.773-777, ⟨10.3233/SHTI230264⟩ |
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Modélisation de parcours patients : graphes temporels pour la supervision médicaleEGC 2023 - 22e Conférence Extraction et Gestion des Connaissances, Jan 2023, Lyon, France. pp.321-328 |
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ICDiscovery : Aide à l'annotation par une méthode de budget pour le codage CIM-9 des textes hospitaliersEGC 2023 - 22e Conférence Extraction et Gestion des Connaissances, Jan 2023, Lyon, France. pp.605-612 |
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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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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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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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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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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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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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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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Readitopics: Make Your Topic Models Readable via Labeling and BrowsingIJCAI: International Joint Conference on Artificial Intelligence, Jul 2018, Stockholm, Sweden |
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#AIDS Analyse Information Dangers Sexualité : caractériser les discours à propos du VIH dans les forums de santéIC 2018 - 29es Journées francophones d'Ingénierie des Connaissances, AFIA, Jul 2018, Nancy, France. pp.71-86 |
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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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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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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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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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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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Quels évènements après un infarctus du myocarde ?SIIM: Symposium Ingénierie de l’Information Médicale, Nov 2017, Toulouse, France |
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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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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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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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Querying RDF Data Using A Multigraph-based Approach19. International Conference on Extending Database Technology (EDBT 2016), Mar 2016, Bordeaux, France. pp.245-256, ⟨10.5441/002/edbt.2016.24⟩ |
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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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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⟩ |
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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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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 2015 - 15th SIAM International Conference on Data Mining, Apr 2015, Vancouver, Canada. pp.846-854, ⟨10.1137/1.9781611974010.95⟩ |
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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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Mesurer la proximité entre corpus par de nouveaux méta-descripteursCORIA: Conférence en Recherche d’Information et Applications, Mar 2015, Paris, France. pp.369-383 |
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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ADVANSE: Sentiment, Opinion and Emotion Analysis in French TweetsDEFT: Défi Fouille de Texte, Jun 2015, Caen, France |
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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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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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Identifier la cible des émotions dans les forums de santéIC 2014 - 25es Journées francophones d’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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Change detection in categorical evolving data streamsSAC 2014 - 29th Annual ACM Symposium on Applied Computing, Mar 2014, Gyeongju, South Korea. pp.792-797, ⟨10.1145/2554850.2554864⟩ |
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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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Patient's rationale: Patient Knowledge retrieval from health forumseTELEMED: eHealth, Telemedicine, and Social Medicine, 2014, Barcelone, Spain |
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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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Contextual Itemset Mining in DBpediaLD4KD: Linked Data for Knowledge Discovery, Sep 2014, Nancy, France. pp.27-36 |
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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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Analyse des messages des patients et des médecins dans les fora de santéIC 2014 - 25es Journées francophones d’Ingénierie des Connaissances, Atelier IC & Santé, 2014, Clermont-Ferrand, France |
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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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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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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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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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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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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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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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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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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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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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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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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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Extraction d'opinions appliquée à des critèresEGC: Extraction et Gestion des Connaissances, Jan 2012, Bordeaux, France. pp.453-458 |
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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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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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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⟩ |
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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⟩ |
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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⟩ |
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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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Healthcare trajectory mining by combining multidimensional component and itemsetsECML-PKDD 2012, Sep 2012, Bristol, United Kingdom. p. 116 - p. 127 |
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Opinion Extraction Applied to CriteriaDEXA 2012 - 23rd International Conference on Database and Expert Systems Applications, Sep 2012, Vienna, Austria. pp.457-465, ⟨10.1007/978-3-642-32597-7_44⟩ |
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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⟩ |
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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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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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Segmentation des fichiers logsEGC: Extraction et Gestion des Connaissances, 2012, Bordeaux, France. pp.381-386 |
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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⟩ |
Vers une méthode automatique de construction de hiérarchies contextuellesEGC: Extraction et Gestion des Connaissances, 2012, Bordeaux, France. pp.335-346 |
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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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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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Prédiction du grade d'un cancer du sein par la découverte de motifs séquentiels contextuels dans des puces à ADNECS: Extraction de Connaissances et Santé, 2011, Brest, France. pp.37-48 |
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Fuzzy Orderings for Fuzzy Gradual PatternsFQAS: Flexible Query Answering Systems, Oct 2011, Ghent, Belgium. pp.001-012 |
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A Snort-based Mobile Agent for a Distributed Intrusion Detection SystemSECRYPT: Security and Cryptography, Jul 2011, Seville, Spain. pp.198-207 |
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Mining Approximate Frequent Closed Flows over Packet StreamsDaWaK: Data Warehousing and Knowledge Discovery, Aug 2011, Toulouse, France. pp.419-431, ⟨10.1007/978-3-642-23544-3_32⟩ |
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Towards an On-Line Analysis of Tweets ProcessingDEXA 2011 - 22nd International Conference on Database and Expert Systems Applications, Aug 2011, Toulouse, France. pp.154-161, ⟨10.1007/978-3-642-23091-2_15⟩ |
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Moving Objects: Combining Gradual Rules and Spatial-Temporal PatternsICSDM 2011 - 1st IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, Jun 2011, Fuzhou, China. pp.131-136, ⟨10.1109/ICSDM.2011.5969019⟩ |
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Towards a Multiagent-Based Distributed Intrusion Detection System Using Data Mining ApproachesADMI: Agents and Data Mining Interaction, 2011, Taipei, Taiwan. pp.173-194, ⟨10.1007/978-3-642-27609-5_12⟩ |
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Towards an Automatic Characterization of CriteriaDEXA 2011 - 22nd International Conference on Database and Expert Systems Applications, Aug 2011, Toulouse, France. pp.457-465, ⟨10.1007/978-3-642-23088-2_34⟩ |
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Identification des divisions logiques de fichiers logsSFC: Société Francophone de Classification, Sep 2011, Orléans, France. pp.91-94 |
How to Rank Terminology Extracted by ExterlogIC3K 2009 - 1st International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Oct 2009, Madeira, Portugal. pp.121-132, ⟨10.1007/978-3-642-19032-2_9⟩ |
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Analyse de gazouillis en ligneEDA: Entrepôts de Données et Analyse en ligne, Jun 2011, Clermont-Ferrand, France. pp.16 |
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Genetic Programming for Optimizing Fuzzy Gradual Pattern DiscoveryEUSFLAT-LFA, European Society for Fuzzy Logic and Technology, Jul 2011, Aix les Bains, France. pp.305-310 |
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Requêtes skyline avec prise en compte des préférences utilisateurs pour des données volumineusesEGC: Extraction et Gestion des Connaissances, Jan 2010, Hammamet, Tunisie. pp.399-404 |
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Aide au diagnostic de pannes guidée par l'extraction de motifs séquentiels7ème Atelier Fouille de Données Complexes dans un processus d’extraction de connaissances (FDC), Jan 2010, Hammamet, Tunisie. pp.87-112 |
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Fuzzy Anomaly Detection in Monitoring Sensor DataFUZZ-IEEE, Jul 2010, Barcelone, Spain. ⟨10.1109/FUZZY.2010.5584253⟩ |
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Recherche de passages pertinents dans les fichiers logs par enrichissement de requêtesCORIA: Conférence en Recherche d’Information et Applications, Mar 2010, Sousse, Tunisie. pp.239-254 |
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Summarizing Multidimensional Data Streams : A Hierarchy-Graph-Based ApproachPAKKD 2010 - 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Jun 2010, Hyderabad, India. pp.335-342, ⟨10.1007/978-3-642-13672-6_33⟩ |
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Quand un tweet détecte une catastrophe naturelle...VSST: Veille Stratégique Scientifique et Technologique, Oct 2010, Toulouse, France |
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TIGER: Querying Large Tables through Criterion ExtensionInt. Conference on Soft Computing and Pattern Recognition (SoCPaR'2010), 2010, France. 8 p |
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Extraction de règles linguistiques floues par programmation gènétiqueLFA: Logique Floue et ses Applications, Nov 2010, Lannion, France |
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Contextual Sequential Pattern MiningDDDM: Domain Driven Data Mining, Dec 2010, Sydney, NSW, Australia. pp.981-988, ⟨10.1109/ICDMW.2010.182⟩ |
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Context-Aware Generalization for Cube MeasuresDOLAP: Data Warehousing and OLAP, Oct 2010, Toronto, Canada. pp.99-104, ⟨10.1145/1871940.1871961⟩ |
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Discovering novelty in sequential patterns: application for analysis of microarray data on Alzheimer diseaseMedInfo: Congress on Medical Informatics, Sep 2010, Cape Town, South Africa. pp.1314-1318 |
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Mining Closed Gradual PatternsICAISC: International Conference on Artificial Intelligence and Soft Computing, Jun 2010, Zakopane, Poland. pp.267-274, ⟨10.1007/978-3-642-13208-7\_34⟩ |
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Analyse de dépêches pour l'épidémiologieIC 2010 - 21es Journées francophones d'Ingénierie des Connaissances, Jun 2010, Nîmes, France |
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Passage Retrieval in Log Files: An Approach Based on Query EnrichmentNLP: Natural Language Processing, Aug 2010, ReykjavÃk, Iceland. pp.357-368, ⟨10.1007/978-3-642-14770-8_39⟩ |
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Bien cube, les données textuelles peuvent s'agréger !EGC: Extraction et Gestion des Connaissances, Jan 2010, Hammamet, Tunisie. pp.585-596 |
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Fuzzy gradual patterns: What fuzzy modality for what result?SoCPaR: International Conference of Soft Computing and Pattern Recognition, Dec 2010, Paris, France. pp.224-230, ⟨10.1109/SOCPAR.2010.5686082⟩ |
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TIGER : Interrogation d'une table relationnelle par extension de critèresBDA: Bases de Données Avancées, 2010, Toulouse, France |
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TIGER: Querying a Relational Table through Criteria ExtensionSoCPaR: Soft Computing and Pattern Recognition, Dec 2010, Paris, France. pp.111-118 |
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Aide à la décision pour la maintenance ferroviaire préventiveEGC: Extraction et Gestion des Connaissances, Jan 2010, Hammamet, Tunisie. pp.363-368 |
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Terminology Extraction from Log FilesDEXA 2009 - 20th International Conference on Database and Expert Systems Applications, Aug 2009, Linz, Austria. pp.769-776, ⟨10.1007/978-3-642-03573-9_65⟩ |
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Détection d'intrusions dans un environnement collaboratif sécuriséEGC: Extraction et Gestion des Connaissances, Jan 2009, Strasbourg, France. pp.301-312 |
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Spams, une nouvelle approche incrémentale pour l'extraction de motifs séquentiels fréquents dans les Data streamsEGC: Extraction et Gestion des Connaissances, Jan 2009, Strasbourg, France. pp.205-216 |
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Processus d'extraction et de validation de la terminologie issue de logsJFO 2009 - 3e Journées Francophones sur les Ontologies, Dec 2009, Poitiers, France. pp.1-10 |
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SS-IDS: Statistical Signature Based IDSICIW: International Conference on Internet and Web Applications and Services, May 2009, Venice, Italy. pp.1-6 |
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A Conceptual Model for Handling Personalized Hierarchies in Multidimensional DatabasesMEDES: Management of Emergent Digital EcoSystems, Oct 2009, Lyon, France. ⟨10.1145/1643823.1643843⟩ |
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Mining for Relevant Terms From Log FilesKDIR'09: International Conference on Knowledge Discovery and Information Retrieval, Oct 2009, Madeira, Portugal. pp.77-84 |
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Data Mining for Intrusion Detection: from Outliers to True IntrusionsPAKDD 2009 - 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Apr 2009, Bankok, Thailand. pp.891-898, ⟨10.1007/978-3-642-01307-2_93⟩ |
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Multidimensional Data Streams Summarization Using Extended Tilted-Time WindowsFINA: Frontiers of Information Systems and Network Applications, May 2009, Bradford, United Kingdom. pp.102-106, ⟨10.1109/WAINA.2009.145⟩ |
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SO_MAD: SensOr Mining for Anomaly Detection in Railway DataICDM 2009 - 9th Industrial Conference on Data Mining, Jul 2009, Leipzig, Germany. pp.191-205, ⟨10.1007/978-3-642-03067-3_16⟩ |
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A Hierarchy-Based Method for Synthesizing Frequent Itemsets Extracted from Temporal WindowsSoCPaR: Soft Computing and Pattern Recognition, Dec 2009, Malacca, Malaysia. pp.136-142, ⟨10.1109/SoCPaR.2009.38⟩ |
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A Novel Approach For Privacy Mining Of Generic Basic Association RulesACM First International Workshop on Privacy and Anonymity for Very Large Datasets, join with CIKM'09, France. pp.45-52 |
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Collaborative Outlier Mining for Intrusion DetectionEGC: Extraction et Gestion des Connaissances, Jan 2009, Strasbourg, France. pp.313-323 |
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SAX: A Privacy Preserving General Purpose Method applied to Detection of IntrusionsACM First International Workshop on Privacy and Anonymity for Very Large Datasets, join with CIKM 09, Nov 2009, Hong Kong, China. pp.17-24 |
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Discovering Fuzzy Unexpected Sequences with BeliefsIPMU'08: 12th International Conference of Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2008, Malaga, Spain. pp.1709-1716 |
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Le FIA: un nouvel automate permettant l'extraction efficace d'itemsets fréquents dans les flots de données.EGC: Extraction et Gestion des Connaissances, Jan 2008, Sophia-Antipolis, France. pp.157-168 |
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Is a Voting Approach Accurate for Opinion Mining?DaWaK 2008 - 10th International Conference on Data Warehousing and Knowledge Discovery, Sep 2008, Torino, Italy. pp.413-422, ⟨10.1007/978-3-540-85836-2_39⟩ |
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Détection d'opinion : Apprenons les bons adjectifs !INFORSID'08 : INFormatique des Organisations et Systèmes d'Information et de Décision - Atelier FODOP'08, 2008, France. pp.59-66 |
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Recherche de sentiments opposés par une approche floue à partir de textes libresLFA'08 : Rencontres Francophones sur la Logique Floue et ses Applications, pp.26-33 |
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Mining Unexpected Web Usage BehaviorsICDM 2008 - 8th Industrial Conference on Data Mining, Jul 2008, Leibnitz, Germany. pp.283-297, ⟨10.1007/978-3-540-70720-2_22⟩ |
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FIASCO : un nouvel algorithme d'extraction d'itemsets fréquents dans les flots de données.EGC: Extraction et Gestion des Connaissances, Jan 2008, Sophia-Antipoli, France. pp.235-236 |
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Fenêtres sur cubesBDA: Bases de Données Avancées, Oct 2008, Guilherand-Granges, France |
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Recognizing Unexpected Recurrence Behaviors with Fuzzy Methods in Sequence DatabasesCSTST'08: International Conference on Soft Computing as Transdisciplinary Science and Technology, pp.37-43 |
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Découverte de motifs séquentiels et de règles inattendusEGC: Extraction et Gestion des Connaissances, Jan 2008, Sophia-Antipolis, France. pp.535-540 |
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Extraction of Opposite Sentiments in Classified Free Format Text ReviewsDEXA 2008 - 19th International Conference on Database and Expert Systems Applications, Sep 2008, Turin, Italy. pp.710-717, ⟨10.1007/978-3-540-85654-2_62⟩ |
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Web Opinion Mining: How to extract opinions from blogs?CSTST'08: International Conference on Soft Computing as Transdisciplinary Science and Technology, pp.7 |
Détection d'intrusions : de l'utilisation de signatures statistiquesFouille de Données Complexes 2008, Jan 2008, France. p. 105-116 |
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Mining Conjunctive Sequential PatternsECML PKDD 2008 - Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2008, Antwerp, Belgium. pp.19-19, ⟨10.1007/978-3-540-87479-9_17⟩ |
Web Analysis Traffic Challenge: Description and ResultsDiscovery Challenge ECML/PKDD, Sep 2007, Poland |
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Towards Unexpected Sequential PatternsAtelier Bases de Données Inductives, Plateforme Afia, Jul 2007, Grenoble, France |
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Fuzzy Tree Mining: Go Soft on Your NodesIFSA: International Fuzzy Systems Association World Congress, Jun 2007, Cancun, Mexico. pp.145-154, ⟨10.1007/978-3-540-72950-1_15⟩ |
Web Analyzing Traffic Challenge: Description and ResultsECML PKDD 2007 Discovery Challenge, 2007, Warsaw, Poland |
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Vers une nouvelle approche d'extraction des motifs séquentiels non-dérivablesEGC: Extraction et Gestion des Connaissances, Jan 2007, Namur, Belgique. pp.307-318 |
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Sampling For Sequential Pattern Mining: From Static Databases to Data StreamsICDM 2007 - 7th IEEE International Conference on Data Mining, Oct 2007, Omaha, NE, United States. pp.631-636, ⟨10.1109/ICDM.2007.82⟩ |
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Peer-to-Peer Usage Analysis: a Distributed Mining ApproachAINA: Advanced Information Networking and Applications, 2006, Vienna, Austria |
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Web Usage Mining : extraction de périodes denses à partir des logsEGC: Extraction et Gestion des Connaissances, Jan 2006, Lille, France. pp.403-408 |
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FuzBT: a Binary Approach for Fuzzy Tree MiningIPMU: Information Processing and Management of Uncertainty in Knowledge-Based Systems, Jul 2006, Paris, France |
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Privacy Preserving Sequential Pattern Mining in Distributed DatabasesCIKM: Conference on Information and Knowledge Management, Nov 2006, Arlington, Virginia, United States. pp.758-767, ⟨10.1145/1183614.1183722⟩ |
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SPEED : Mining Maxirnal Sequential Patterns over Data StrearnsIS: Intelligent Systems, Sep 2006, London, United Kingdom. pp.546-552, ⟨10.1109/IS.2006.348478⟩ |
Web Usage Mining: Extracting Unexpected Periods from Web LogsIEEE 2nd Workshop on Temporal Data Mining (TDM'05). Held in conjunction with ICDM'05, Nov 2005, Houston, United States |
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RSF - A New Tree Mining Approach with an Efficient Data StructureEUSFLAT-LFA, European Society for Fuzzy Logic and Technology, Sep 2005, Barcelona, Spain. pp.1088-1093 |
DEFI DEFT05 : une approche par classifieur de BayesDEFI DEFT05 : une approche par classifieur de Bayes, 2005, Dourdan, France |
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Need For Speed: Mining Sequential Patterns in Data StreamBDA: Bases de Données Avancées, Oct 2005, Saint-Malo |
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Tendances dans les expressions de gènes : application à l'analyse du transcriptome de Plasmodium FalciparumEGC 2005, Extraction et Gestion des Connaissances, Jan 2005, Paris, France. pp.649 |
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Pre-Processing Time Constraints for Efficiently Mining Generalized Sequential PatternsTIME'04: 11th International Symposium on Temporal Representation and Reasoning, Jul 2004, Tatihou, Basse-Normandie (France), France. pp.87-95, ⟨10.1109/TIME.2004.1314424⟩ |
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Web Usage Mining: Extraction, Maintenance and Behaviour TrendsIICAI: Indian International Conference on Artificial Intelligence, Dec 2003, Hyderabad, India. pp.14 |
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AUSMS: An Environment for Frequent Sub-Substructures Extraction in a Semi-Structured Object CollectionDEXA 2003 - 14th International Conference on Database and Expert Systems Applications, Sep 2003, Prague, Czech Republic. pp.38-45, ⟨10.1007/978-3-540-45227-0_5⟩ |
Real Time Web Usage Mining with a Distributed Navigation AnalysisRIDE'02: International Workshop on Research Issues on Data Engineering, San Jose, USA, pp.6 |
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HDM, un Module de Fouille de Données Distribué et Temps RéelEGC: Extraction et Gestion des Connaissances, Jan 2002, Montpellier, France. pp.393-398 |
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Web Usage Mining: How to Efficiently Manage New Transactions and New ClientsPKDD 2000 - 4th European Conference on Principles of Data Mining and Knowledge Discovery, Sep 2000, Lyon, France. pp.530-535, ⟨10.1007/3-540-45372-5_62⟩ |
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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 |
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Visualizing Hierarchical Time Series with a Focus+Context ApproachInfoVis 2017 @VIS, Oct 2017, Phoenix, United States. , Conference on Scientific Visualization, Information Visualization and Visual Analytics, 2017 |
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Local community detection in multilayer networksASONAM, Aug 2016, San Francisco, United States. IEEE/ACM, pp.1382-1383, 2016 |
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Analysis of Forum Posts Written by Patients and Health ProfessionalsMIE: Medical Informatics Europe, Aug 2014, Istanbul, Turkey. 25th European Medical Informatics Conference, pp.1185-1185, 2014 |
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RegExpMiner: Automatically discovering frequently matching regular expressionsDMNLP 2014 - 1st International Workshop on Interactions between Data Mining and Natural Language Processing, Sep 2014, Nancy, France. , Proceedings of the 1st International Workshop on Interactions between Data Mining and Natural Language Processing co-located with The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014), CEUR Workshop Proceedings (1202), pp.143-144, 2014 |
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Identifying the Targets of the Emotions Expressed in Health ForumsCICLing 2014 - 15th International Conference on Intelligent Text Processing and Computational Linguistics, Apr 2014, Kathmandu, Nepal. , LNTCS (8404), pp.85-97, 2014, Computational Linguistics and Intelligent Text Processing. ⟨10.1007/978-3-642-54903-8_8⟩ |
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Co2Vis: A Visual Analytics Tool for Mining Co-Expressed and Co-Regulated Genes Implied in HIV InfectionsBioVis: Biological Data Visualization, 2013, Atlanta, United States. 2013 |
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Cartographie de dépêches pour analyser le développement d'épidémiesIC 2010 - 21es Journées francophones d'Ingénierie des Connaissances, Jun 2010, Nîmes, France. 2010 |
Actes de la 11ième Conférence Internationale Francophone sur l'Extraction et la Gestion des Connaissances (EGC 2011)Hermann, pp.712, 2011, 978-2-70568-112-8 |
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Fouille de Données d'OpinionsCépaduès Éditions, 202 p., 2009 |
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Data Mining Patterns: New Methods and ApplicationsIDEA Group, pp.307, 2007, 13 978-1599041629 |
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Successes and New Directions in Data MiningIDEA Group, pp.1-369, 2007, 13 978-1599046457 |
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PaFloChar: An Innovating Approach to Characterise Patient Flows in Myocardial InfarctionBuilding Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 247, IOS Press, pp.391-395, 2018, Studies in Health Technology and Informatics, 978-1-61499-851-8. ⟨10.3233/978-1-61499-852-5-391⟩ |
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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⟩ |
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Scalability and Fuzzy Systems: What Parallelization Can DoFlexible Approaches in Data, Information and Knowledge Management, 497, Springer, pp.291-320, 2014, Studies in Computational Intelligence, 978-3-319-00953-7. ⟨10.1007/978-3-319-00954-4_13⟩ |
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Mining Sequential Patterns: a Context-Aware ApproachSpringer. Advances in Knowledge Discovery and Management, 3, pp.23-41, 2013 |
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Mining Web Data for Epidemiological SurveillanceEmerging Trends in Knowledge Discovery and Data Mining, LNCS (7769), Springer, pp.11-21, 2013, ⟨10.1007/978-3-642-36778-6_2⟩ |
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Intrusion Detections in Collaborative Organizations by Preserving PrivacyFabrice 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⟩ |
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Mining Common Outliers for Intrusion DetectionFabrice 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⟩ |
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From Collaborative to Privacy Preserving Sequential Pattern MiningPrivacy and Anonymity in Information Management Systems, pp.135-156, 2010, 978-1-84996-237-7. ⟨10.1007/978-1-84996-238-4_7⟩ |
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SPAMS : A Novel Incremental Approach for Sequential Pattern Mining in Data StreamsSpringer Verlag. Advances in Knowledge Discovery and Management, pp.201-216, 2009 |
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Mining Unexpected Sequential Patterns and Implication RulesYun Sing Koh and Nathan Rountree. Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection, pp.20, 2009, Advances in Data Warehousing and Mining Book Series |
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Fuzzy Data Mining for the Semantic Web: Building XML Mediator SchemasCapturing Intelligence, 1, Elsevier, pp.249-264, 2006, ⟨10.1016/S1574-9576(06)80014-6⟩ |
Sequential Pattern MiningJohn Wang. Encyclopedia of Data Warehousing and Mining, Idea Group Reference, pp.1028-1032, 2005, 1-59140-557-2 |
Process for identifying rare eventsUnited States, Patent n° : EP13153512A; EP2014051963W. 2013 |
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OrderGeneMiner : Logiciel pour l'extraction et la visualisation de motifs partiellement ordonnés à partir de puces à ADN2013 |
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Vers un outil de cartographie : qui est l'expert ?2013 |
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Node Overlap Removal for 1D Graph Layout: Proof of Theorem 1[Research Report] LIRMM (UM, CNRS). 2017 |
Isolating rare events in large-scale applications using a backward approach[Research Report] RR-13003, LIRMM. 2013 |
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Presidential Election 2012: How French politicians tweet?RR-12011, 2012 |
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Terminology Extraction from Log FilesRR-09010, 2009, pp.16 |
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Aide à la décision pour la maintenance ferroviaire préventiveRR-09029, 2009, pp.12 |
Deducing Bounds on the Support of Sequential PatternsRR-08015, 2008 |
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Mining Unexpected Sequential Patterns and RulesRR-07027, 2007, pp.14 |
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AUSMS : Un Environnement pour l'Extraction de Sous-Structures Fréquentes dans une Collection d'Objets Semi-Structurés02193, LIRMM. 2002, pp.13 |