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Maguelonne Teisseire
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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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HydroQual: Visual analysis of river water qualityVAST: Visual Analytics Science and Technology, Nov 2014, Paris, France. pp.123-132, ⟨10.1109/VAST.2014.7042488⟩
Communication dans un congrès
lirmm-01275383v1
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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⟩
Communication dans un congrès
hal-02601104v1
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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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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⟩
Communication dans un congrès
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⟩
Communication dans un congrès
hal-02600411v1
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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⟩
Communication dans un congrès
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⟩
Communication dans un congrès
lirmm-00798072v1
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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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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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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
Communication dans un congrès
lirmm-00798222v1
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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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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⟩
Communication dans un congrès
lirmm-00732660v1
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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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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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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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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⟩
Communication dans un congrès
hal-00636285v1
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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⟩
Communication dans un congrès
lirmm-00798312v1
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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
Communication dans un congrès
lirmm-00671007v1
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Analyse de gazouillis en ligneEDA: Entrepôts de Données et Analyse en ligne, Jun 2011, Clermont-Ferrand, France. pp.16
Communication dans un congrès
hal-00828003v1
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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
Communication dans un congrès
hal-00558156v1
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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
Communication dans un congrès
lirmm-00365274v1
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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
Communication dans un congrès
hal-00529201v1
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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
Communication dans un congrès
lirmm-00588562v1
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Real Time Web Usage Mining with a Distributed Navigation AnalysisRIDE'02: International Workshop on Research Issues on Data Engineering, San Jose, USA, pp.6
Communication dans un congrès
lirmm-00268631v1
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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⟩
Communication dans un congrès
lirmm-00272118v1
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Web Analysis Traffic Challenge: Description and ResultsDiscovery Challenge ECML/PKDD, Sep 2007, Poland
Communication dans un congrès
hal-00822307v1
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Web Analyzing Traffic Challenge: Description and ResultsECML PKDD 2007 Discovery Challenge, 2007, Warsaw, Poland
Communication dans un congrès
lirmm-00168955v1
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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
Communication dans un congrès
lirmm-00135015v1
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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
Communication dans un congrès
inria-00461840v1
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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⟩
Communication dans un congrès
hal-00134387v1
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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⟩
Communication dans un congrès
lirmm-00135021v1
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Peer-to-Peer Usage Analysis: a Distributed Mining Approach AINA: Advanced Information Networking and Applications, 2006, Vienna, Austria
Communication dans un congrès
hal-00106798v1
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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
Communication dans un congrès
lirmm-00106090v1
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Need For Speed: Mining Sequential Patterns in Data StreamBDA: Bases de Données Avancées, Oct 2005, Saint-Malo
Communication dans un congrès
lirmm-00106085v1
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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
Communication dans un congrès
inria-00461877v1
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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), pp.87-95
Communication dans un congrès
lirmm-00108888v1
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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⟩
Communication dans un congrès
lirmm-00191954v1
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Web Usage Mining: Extraction, Maintenance and Behaviour TrendsIICAI: Indian International Conference on Artificial Intelligence, Dec 2003, Hyderabad, India. pp.14
Communication dans un congrès
lirmm-00269458v1
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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
Communication dans un congrès
lirmm-00268518v1
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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⟩
Communication dans un congrès
hal-00008926v1
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Data Mining Patterns: New Methods and ApplicationsIDEA Group, pp.307, 2007, 13 978-1599041629
Ouvrages
lirmm-00365419v1
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Successes and New Directions in Data MiningIDEA Group, pp.1-369, 2007, 13 978-1599046457
Ouvrages
lirmm-00365422v1
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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⟩
Chapitre d'ouvrage
lirmm-00798706v1
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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⟩
Chapitre d'ouvrage
lirmm-00102627v1
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Sequential Pattern MiningJohn Wang. Encyclopedia of Data Warehousing and Mining, Idea Group Reference, pp.1028-1032, 2005, 1-59140-557-2
Chapitre d'ouvrage
lirmm-00106576v1
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Process for identifying rare eventsUnited States, Patent n° : EP13153512A; EP2014051963W. 2013
Brevet
lirmm-00913008v1
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OrderGeneMiner : Logiciel pour l'extraction et la visualisation de motifs partiellement ordonnés à partir de puces à ADN2013
Autre publication scientifique
lirmm-00802709v1
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Isolating rare events in large-scale applications using a backward approach[Research Report] RR-13003, LIRMM. 2013
Rapport
lirmm-00798074v1
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