Karine Zeitouni
- Données et algorithmes pour une ville intelligente et durable - DAVID (DAVID)
- Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)
- Université Paris-Saclay
Publications
Publications
Harnessing Large Language Models for Predicting Mobility Modes2025 26th IEEE International Conference on Mobile Data Management (MDM), Jun 2025, Irvine, France. pp.222-227, ⟨10.1109/MDM65600.2025.00033⟩ |
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Federated TimeGAN for Privacy Preserving Synthetic Trajectory Generation25th IEEE International Conference on Mobile Data Management (MDM 2024), Jun 2024, Brussels, Belgium. pp.301-306, ⟨10.1109/MDM61037.2024.00062⟩ |
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Clustering Corticosteroids Responsiveness in Sepsis Patients using Game-Theoretic Rough Sets18th Conference on Computer Science and Intelligence Systems, Sep 2023, Warsaw, Poland. pp.545-556, ⟨10.15439/2023F9521⟩ |
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STREAMER 3.0: Towards Online Monitoring and Distributed LearningCIKM '23: The 32nd ACM International Conference on Information and Knowledge Management, Oct 2023, Birmingham, United Kingdom. pp.5076-5080, ⟨10.1145/3583780.3614755⟩ |
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Towards a federated learning approach for branched wired networks prognosisIEEE ICCAD 2023 - International Conference on Control, Automation and Diagnosis, May 2023, Rome, Italy. pp.10152421, ⟨10.1109/ICCAD57653.2023.10152421⟩ |
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Use of sensor systems to assess individual exposure to air pollutionHealthy Buildings Europe 2023, Jun 2023, Aachen, Germany |
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Enriching fixed stations air pollution monitoring with opportunistic mobile monitoringWorkshop on Big Mobility Data Analytics (BMDA) co-located with EDBT/ICDT 2023 Joint Conference, George Fletcher and Verena Kantere, Mar 2023, Ioannina, Greece |
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Fine-grained location prediction of non geo-tagged tweetsSIGSPATIAL '22: The 30th International Conference on Advances in Geographic Information Systems, Nov 2022, Seattle Washington, France. pp.82-91, ⟨10.1145/3557918.3565875⟩ |
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Un Modèle de Trajectoire Multidimensionnel dans le Contexte de la Collecte Participative par Micro-CapteursEDA, 2021, Toulouse, France. pp.1-14 |
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Micro-environment recognition in the context of environmental crowdsensingWorkshops of the EDBT/ICDT Joint Conference, EDBT/ICDT-WS, Apr 2021, Nicosia, Cyprus |
Towards a Federated Learning Approach for Privacy-aware Analysis of Semantically Enriched Mobility Data30th International ACM Symposium on High-Performance, Parallel and Distributed Computing (HPDC 2021) & 1st Workshop on Flexible Resource and Application Management on the Edge (FRAME 2021), Jun 2021, Virtual Event Sweden, Sweden. pp.17--20, ⟨10.1145/3452369.3463823⟩ |
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From Raw Pedestrian Trajectories to Semantic Graph Structured Model—Towards an end-to-end spatiotemporal analytics frameworkThe 12th International Conference on Ambient Systems, Networks and Technologies (ANT), Mar 2021, Varsovie, Poland. pp.60-67, ⟨10.1016/j.procs.2021.03.018⟩ |
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SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time Series2021 IEEE International Conference on Data Mining (ICDM), Dec 2021, Auckland, Australia. pp.1565-1570, ⟨10.1109/ICDM51629.2021.00206⟩ |
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Tell Me What Air You Breath, I Tell You Where You AreSSTD '21: 17th International Symposium on Spatial and Temporal Databases, Aug 2021, virtual USA, France. pp.161-165, ⟨10.1145/3469830.3470914⟩ |
Online Clustering of Trajectories in Road Networks2020 21st IEEE International Conference on Mobile Data Management (MDM), Jun 2020, Versailles, France. pp.99-108, ⟨10.1109/MDM48529.2020.00031⟩ |
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Message from the General Chairs: MDM 20202020 21st IEEE International Conference on Mobile Data Management (MDM), Jun 2020, Versailles, France. pp.i-i, ⟨10.1109/MDM48529.2020.00005⟩ |
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Prospective Data Model and Distributed Query Processing for Mobile Sensing Data Streams1st International Workshop on Multiple-Aspect Analysis of Semantic Trajectories, MASTER 2019 held in Conjunction with the 19th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2019, 2019, Würzburg, Germany. pp.66-82, ⟨10.1007/978-3-030-38081-6_6⟩ |
ISETS: Incremental Shapelet Extraction from Time Series StreamEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2019, 2019, Würzburg, Germany. pp.790-793, ⟨10.1007/978-3-030-46133-1_53⟩ |
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Incremental and Adaptive Feature Exploration over Time Series StreamIEEE International Conference on Big Data 2019, Dec 2019, Los Angeles, United States. ⟨10.1109/BigData47090.2019.9005660⟩ |
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Towards a Semantic Indoor Trajectory Model2nd International Workshop on "Big Mobility Data Analytics" (BMDA) with EDBT 2019, Mar 2019, Lisbon, Portugal |
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Towards rich sensor data representation functional data analysis framework for opportunistic mobile monitoring4th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2018, 2018, unknow, France. pp.290-295, ⟨10.5220/0006788502900295⟩ |
Déploiement des capteurs de la qualité de l'airInternational Symposium Individual Air Pollution Sensors: Innovation or Revolution ?, Nov 2018, Villeneuve d’Ascq, France |
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Towards a Better Understanding of Museum Visitors' Behavior through Indoor Trajectory AnalysisSeventh International Conference on Digital Presentation and Preservation of Cultural and Scientific Heritage (DiPP2017), Sep 2017, Burgas, Bulgaria. pp.19-30 |
Automatic Learning of Predictive CEP Rules: Bridging the Gap between Data Mining and Complex Event ProcessingDEBS '17: The 11th ACM International Conference on Distributed and Event-based Systems, Jun 2017, Barcelona, Spain. pp.158-169, ⟨10.1145/3093742.3093917⟩ |
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A Service-Based System for Sentiment Analysis and Visualization of Twitter Data in RealtimeICSOC Workshops, 2016, Banff, AB, Canada. pp.199-202, ⟨10.1007/978-3-319-68136-8_24⟩ |
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A distributed approach for shortest path algorithm in dynamic multimodal transportation networks20th EURO Working Group on Transportation Meeting, EWGT 2017, Sep 2017, Budapest, Hungary. pp.294-300, ⟨10.1016/j.trpro.2017.12.094⟩ |
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Real-Time HazMat Environmental Information System: A micro-service based architecture8th International Conference on Ambient Systems, Networks and Technologies, ANT-2017 and the 7th International Conference on Sustainable Energy Information Technology, SEIT 2017, May 2017, Madère, Portugal. pp.982-987, ⟨10.1016/j.procs.2017.05.457⟩ |
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Real-Time Microservices Based Environmental Sensors System for Hazmat Transportation Networks Monitoring20th EURO Working Group on Transportation Meeting, EWGT 2017, Sep 2017, Budapest, Hungary. pp.873-880, ⟨10.1016/j.trpro.2017.12.087⟩ |
Complex event processing for the non-expert with autoCEPInternational Conference on Distributed Event-Based Systems DEBS, Jun 2016, Irvine, CA, United States. ⟨10.1145/2933267.2933296⟩ |
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Spatial decision tree-application to traffic risk analysisACS/IEEE International Conference on Computer Systems and Applications, Jun 2001, Beirut, Lebanon. pp.203-207, ⟨10.1109/aiccsa.2001.933978⟩ |
Automatic learning of predictive rules for complex event processingInternational Conference on Distributed Event-Based Systems DEBS, Jun 2016, Irvine, CA, United States. ⟨10.1145/2933267.2933430⟩ |
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PAMPAS: Privacy-Aware Mobile Participatory Sensing Using Secure ProbesSSDBM '16 - International Conference on Scientific and Statistical Database Management, Jul 2016, Budapest, Hungary. ⟨10.1145/1235⟩ |
PACT-ART: Enrichment, Data Mining, and Complex Event Processing in the Internet of Cultural Things2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 2016, Naples, Italy. ⟨10.1109/SITIS.2016.80⟩ |
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Toward the Support of Challenging Service Level Agreements (SLAs) in Manual and Context-Dependent ActivitiesCOMPSAC 2016, Jun 2016, Atlanta, GA, United States. ⟨10.1109/COMPSAC.2016.209⟩ |
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Online Clustering of Trajectory Data Stream2016 17th IEEE International Conference on Mobile Data Management (MDM), Jun 2016, Porto, Portugal. pp.112-121, ⟨10.1109/MDM.2016.28⟩ |
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autoCEP: Automatic Learning of Predictive Rules for Complex Event ProcessingInternational Conference on Service-Oriented Computing, 2016, Banff, Canada. pp.586-593, ⟨10.1007/978-3-319-46295-0_38⟩ |
The Butterfly: An Intelligent Framework for Violation Prediction within Business ProcessesIDEAS '16 Proceedings of the 20th International Database Engineering & Applications Symposium , 2016, Montreal, Canada. ⟨10.1145/2938503.2938541⟩ |
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A Framework for Online Mobility Pattern Discovery from Trajectory Data Streams2016 17th IEEE International Conference on Mobile Data Management (MDM), Jun 2016, Porto, Portugal. pp.365-368, ⟨10.1109/MDM.2016.65⟩ |
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PACT-ART: Adaptive and Context-Aware Processes for the Transportation of ArtworksInternation Congress on Digital Heritage (DH2015), Sep 2015, Granada, Spain. pp.347 - 350 ⟨10.1109/DigitalHeritage.2015.7419520⟩ |
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PPTM: Privacy-aware Participatory Traffic Monitoring Using Mobile Secure ProbesProceedings of the 16th IEEE International Conference on Mobile Data Management (MDM '15). Demo paper, 2015, Pittsburgh, United States. 4 p., ⟨10.1109/MDM.2015.19⟩ |
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PPTM: Privacy-aware Participatory Traffic Monitoring Using Mobile Secure Probes31èmes journées Bases de Données Avancées (BDA '15). Demo paper, 2015, Île de Porquerolles, France. 4 p |
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PAMPAS: Collecte participative respectueuse de la vie privée basée sur des mobiles securisés31èmes journées Bases de Données Avancées (BDA '15), 2015, Île de Porquerolles, France |
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Modeling and Querying Mobile Location Sensor DataThe Fourth International Conference on Advanced Geographic Information Systems, Applications, and Services (GEOProcessing 2012), Jan 2012, Valencia, Spain. 18pp |
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Proactive Vehicle Re-routing Strategies for Congestion AvoidanceProceedings of the 8th IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS '12), May 2012, Hangzhou, China. pp.265-272, ⟨10.1109/DCOSS.2012.29⟩ |
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Gestion efficace de séries temporelles en P2P: Application à l'analyse technique et l'étude des objets mobilesBases de Données Avancées, Oct 2009, Namur, Belgium |
Patient Medical Records in Secure Portable TokensInt. e-Smart Conference, Sep 2008, Sophia-Antipolis, Nice, France |
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Using in-Vehicle Sensor Data for Naturalistic Driving AnalysisWorld Congress on Intelligent Transportation Systems, 2008, United States. pp.6 |
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CALM : Un système de gestion de données de CApteurs à Localisation MobileJournées SAGEO, 2008, Montpellier, France |
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spatiotemporelle des observations sur la conduite en situation naturelle2ème atelier SIT (Systèmes d'Information en Transport), 2008, Fontainebleau, France |
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On Using in-Vehicle Sensor Data for Naturalistic Driving Analysis15th World Congress on Intelligent Transportation Systems, 2008, New-York, United States |
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Clustering de trajectoires contrainte par un réseauAtelier Fouille de données complexes, 8èmes Journées d'Extraction et de Gestion des Connaissances, 2008, Sophia-Antipolis, France |
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Clustering Algorithm for Network Constraint Trajectories13th International Symposium on Spatial Data Handling, SDH, 2008, Montpellier, France |
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Density Queries for Moving Objects in Road Networksconference of the 9th Asia-Pacific Web Conference and the 8th International Conference on Web-Age Information Management, 2007, Huangshan, China |
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Effective Density Queries for Moving Objects in Road NetworksAPWeb WAIM 2007 Asia-Pacific Web Conference International Conference on Web-Age Information Management, Jun 2007, Huang Shan, China. pp.200-211, ⟨10.1007/978-3-540-72524-4_23⟩ |
An OLAP system for network-constrained moving objectsSAC07: The 2007 ACM Symposium on Applied Computing, Mar 2007, Seoul, South Korea. pp.13-18, ⟨10.1145/1244002.1244006⟩ |
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Text Categorization for Multi-label Documents and many Categories20th IEEE International Symposium on Computer-Based Medical Systems, 2007, Maribor, Slovenia |
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An OLAP System for Network-Constraint Moving ObjectsThe 22nd Annual ACM Symposium on Applied Computing, 2007, Séoul, South Korea |
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Représentation et indexation d'objets mobiles contraints par le réseau dans un entrepôt de donnéesEDA, 2006, France. pp.193-154 |
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The Use of the Galois lattice for the extraction and the visualization of the spatial association rules6th IEEE International Symposium on Signal Processing and Information Technology, 2006, Vancouver, Canada |
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Fouille de données spatiales - Approche basée sur la programmation logique inductive6èmes Journées d'Extraction et de Gestion des Connaissances, 2006, Lille, France. pp.529-540 |
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Vers un entrepôt d'objets mobiles contraints par le réseauINFORSID, 2006, Hammamet, Tunisia. pp.1055-1070 |
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Efficient Dynamic Traffic Navigation with Hierarchical Aggregation TreeLecture Notes in Computer Science, Volume 3841, 8th Asia Pacific Web Conference, 2006, Harbin, China |
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Utilisation des treillis de Galois pour l'extraction et la visualisation des règles d'association spatialesINFORSID, 2006, Hammamet, Tunisia. pp.703-718 |
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Tableau de bits indexé (TBI) pour la recherche de séquences fréquentesPoster aux 5èmes Journées d'Extraction et de Gestion des Connaissances, 2005, Paris, France |
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Indexed Bit Map (IBM) for Mining Frequent SequencesPKDD 2005: 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Oct 2005, Porto, Portugal. pp.659-666, ⟨10.1007/11564126_70⟩ |
Automated Linear Geometric Conflation for Spatial Data Warehouse Integration Process8th AGILE International Conference on Geographic Information Science, 2005, Estoril, Portugal. pp.23-32 |
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Entrepôt de données spatiales basé sur GML : politique de gestion de cachePoster aux 5èmes Journées d'Extraction et de Gestion des Connaissances, 2005, Paris, France |
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Spatial Mining with the Galois lattice for information technologiesInternational Conference on Modeling and Simulation, 2005, Marrakech, Morocco |
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Modélisation d'objets mobiles dans un entrepôt de donnéesEGC, 2005, Paris, France. pp.343-348 |
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Indexed Bit Map (IBM) for Mining Frequent Sequences9th European Conference on Principles and Practice of Knowledge Discovery in Databases, 2005, Porto, Portugal. pp.659-666 |
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ADS : Arbre de Décision SpatialDémonstration aux 5èmes journées EGC, 2005, Paris, France |
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Mining Multidimensional Sequential Rules - A Characterization ApproachInternational Workshop on Mining Complex Data, 2005, Houston, United States. pp.99-102 |
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Micro-simulation and visualization of individual space-time paths within a GI, Annual Meeting of the Association of American Geographers, 2005, Denver, United States |
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Spatio-Temporal Data Warehouse Design for Activity Pattern AnalysisDEXA Workshop on Geographic Information Management, 2004, Zaragoza, Spain. pp.814-818 |
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Mining Association rules with Multiple Min-supports - Application to Symbolic Data19èmes Journées Bases de Données Avancées, 2003, Lyon, France. pp.59-74 |
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Modélisation et analyse spatio-temporelle de la mobilité urbaine7ème conférence du GDR SIGMA, 2004, Grenoble, France. pp.27-32 |
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Spatio-temporal data warehouse design for human activity pattern analysisProceedings. 15th International Workshop on Database and Expert Systems Applications, 2004., Sep 2004, Zaragoza, Spain. pp.814-818, ⟨10.1109/DEXA.2004.1333576⟩ |
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Spécification d'un système de data mining Spatial dans le contexte de gestion de services à valeur ajouté3èmes Journées nationales sur les Systèmes Intelligents – Théorie et Applications, 2004, Rabat, Morocco |
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A Conditional Fuzzy Clustering with Adaptive Method10th Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2004, Perugia, Italy. pp.85-90 |
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Data Mining Implementation - Alternatives and Performances9th Brazilian Symposium on GeoInformatics, 2004, Campos do Jordão, Brazil |
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Mise en oeuvre des méthodes du data mining spatial. Alternatives et performances4èmes Journées d'Extraction et de Gestion des Connaissances, 2004, Clermont-Ferrand, France. pp.211-217 |
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A Decision Tree for Multi-Layered Spatial Data10th International Symposium on Spatial Data Handling, Jul 2002, Ottawa, Canada. pp.1-10, ⟨10.1007/978-3-642-56094-1_1⟩ |
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Join indices as a tool for spatial data miningInternational Workshop on Temporal, Spatial, and Spatio-Temporal Data Mining, TSDM 2000, Sep 2000, Lyon, France. pp.105-116, ⟨10.1007/3-540-45244-3_9⟩ |
Personal Data Server: Keeping Sensitive Data under the Individual's Control2012, pp.39-40 |
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cification des services web d'import et d'export de dossiers2008 |
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Architecture fonctionnelle de PlugDB : Dossier Personnel Nomade et Sécurisé2007 |
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Rapport final du sous-projet CIREA - Aide à la codification des Actes2007 |
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Analyse et extraction de connaissances des bases de données spatio-temporelles2006 |
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Conception, Prototype et Résultats de la base de données mobilité2005 |
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Spécifications du module d'aide à la codification des actes (sous-projet 3 - CIREA)2005 |
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Analyse et extraction de connaissances des bases de données spatio-temporellesInterface homme-machine [cs.HC]. Université de Versailles-Saint Quentin en Yvelines, 2006 |
Special issue on “Advances on Large Evolving Graphs”Future Generation Computer Systems, 110, pp.310, 2020 |
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Transactions on Large-Scale Data- and Knowledge-Centered Systems. Vol. XLIV, LNCS 12380. Special Issue on Data Management - Principles, Technologies, and Applications2020, Lecture Notes in Computer Science, ⟨10.1007/978-3-662-62271-1⟩ |
Transactions on Large-Scale Data- and Knowledge-Centered Systems. Vol. XLIV, LNCS 12380. Special Issue on Data Management - Principles, Technologies, and Applications2020 |
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Post-actes BDA 2019 -Gestion de Données Principes Technologies et Applications2019 |
Systèmes d'information et géolocalisationLavoisier, pp.130, 2009, 978-2-7462-2533-6 |
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Entrepôts de données et Analyse en ligneCépaduès, pp.200, 2006, Numéro spécial de la revue RNTI |
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Entrepôts de données et Analyse en ligne (Actes de la conférence EDA 2006)Cépaduès, pp.200, 2006 |
A Multidimensional Trajectory Model in the Context of Mobile Crowd SensingBoulmakoul, A., Karim, L., & Bhushan, B. Smart Trajectories: Metamodeling, Reactive Architecture for Analytics, and Smart Applications (1st ed.)., CRC Press, 2022, 9781003255635 |
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Data perspective on environmental mobile crowd sensingIntelligent Environmental Data Monitoring for Pollution Management, Elsevier, pp.269-288, 2021, 978-0-12-819671-7. ⟨10.1016/B978-0-12-819671-7.00012-9⟩ |
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Chapter 8 - Query Processing and Access Methods for Big Astro and Geo DatabasesKnowledge Discovery in Big Data from Astronomy and Earth Observation, IEEE; Elsevier, pp.593-602, 2020, 978-0-12-819154-5. ⟨10.1016/B978-0-12-819154-5.00018-7⟩ |
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From Sequence Mining to Multidimensional Sequence MiningHandbook of Research on Advances in Mining Complex Data for Knowledge Discovery, Springer Verlag, To appear, 2008 |
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A Survey of Spatial Data Mining MethodsShirley Becker. Data Warehousing and Web Engineering, 2001, 9781931777025 |