Keywords

Co-authors

Journal names

Researcher identifiers

  • IdHAL : pascal-poncelet

Export Publications

Export the displayed publications:
Number of documents

229

Pascal Poncelet


Journal articles49 documents

  • Erick Cuenca, Arnaud Sallaberry, Florence Ying Wang, Pascal Poncelet. MultiStream: A Multiresolution Streamgraph Approach to Explore Hierarchical Time Series. IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2018, 24 (12), pp.3160-3173. ⟨10.1109/TVCG.2018.2796591⟩. ⟨lirmm-01693077⟩
  • Jorge Valverde-Rebaza, Mathieu Roche, Pascal Poncelet, Alneu de Andrade Lopes. The role of location and social strength for friendship prediction in location-based social networks. Information Processing and Management, Elsevier, 2018, 54 (4), pp.475-489. ⟨10.1016/j.ipm.2018.02.004⟩. ⟨lirmm-01710144v2⟩
  • D. Samreth, S. Arnavielhe, F. Ingenrieth, A. Bedbrook, G. Onorato, et al.. Geolocation with respect to personal privacy for the Allergy Diary app - a MASK study. World Allergy Organization Journal, BMC, 2018, 11 (1), ⟨10.1186/s40413-018-0194-3⟩. ⟨lirmm-01987859⟩
  • Vijay Ingalalli, Dino Ienco, Pascal Poncelet. Mining Frequent Subgraphs in Multigraphs. Information Sciences, Elsevier, 2018, 451-452, pp.50-66. ⟨10.1016/j.ins.2018.04.001⟩. ⟨lirmm-01761235⟩
  • Fabio Güttler, Dino Ienco, Jordi Nin, Maguelonne Teisseire, Pascal Poncelet. A graph-based approach to detect spatiotemporal dynamics in satellite image time series. ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, 2017, 130, pp.92-107. ⟨10.1016/j.isprsjprs.2017.05.013⟩. ⟨lirmm-01541930⟩
  • Roberto Interdonato, Andrea Tagarelli, Dino Ienco, Arnaud Sallaberry, Pascal Poncelet. Local Community Detection in Multilayer Networks. Data Mining and Knowledge Discovery, Springer, 2017, 31 (5), pp.1444-1479. ⟨10.1007/s10618-017-0525-y⟩. ⟨lirmm-01705312⟩
  • Amine Abdaoui, Jérôme Azé, Sandra Bringay, Pascal Poncelet. FEEL: a French Expanded Emotion Lexicon. Language Resources and Evaluation, Springer Verlag, 2017, 51 (3), pp.833-855. ⟨10.1007/s10579-016-9364-5⟩. ⟨lirmm-01348016⟩
  • Nhathai Phan, Pascal Poncelet, Maguelonne Teisseire. All in One: Mining Multiple Movement Patterns. International Journal of Information Technology and Decision Making, World Scientific Publishing, 2016, 15 (5), pp.1115-1156. ⟨10.1142/S0219622016500280⟩. ⟨lirmm-01347427⟩
  • Fábio Nór Güttler, Dino Ienco, Pascal Poncelet, Maguelonne Teisseire. Combining transductive and active learning to improve object-based classification of remote sensing images. Remote Sensing Letters, Taylor and Francis, 2016, 7 (4), pp.358-367. ⟨10.1080/2150704X.2016.1142678⟩. ⟨lirmm-01275515⟩
  • Dino Ienco, Vijay Ingalalli, Pascal Poncelet. Leveraging efficient indexing schema to support multigraph query answering. Revue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, Lavoisier, 2016, 21 (3), pp.53-74. ⟨10.3166/isi.21.3.53-74⟩. ⟨lirmm-01399606⟩
  • Enikö Székely, Arnaud Sallaberry, Faraz Zaidi, Pascal Poncelet. A Graph-Based Method for Detecting Rare Events: Identifying Pathologic Cells. IEEE Computer Graphics and Applications, Institute of Electrical and Electronics Engineers, 2015, 35 (3), pp.65-73. ⟨10.1109/MCG.2014.78⟩. ⟨lirmm-01259928⟩
  • Hassan Saneifar, Stéphane Bonniol, Pascal Poncelet, Mathieu Roche. Recognition of logical units in log files. Intelligent Data Analysis, IOS Press, 2015, 19 (2), pp.431-448. ⟨10.3233/IDA-150724⟩. ⟨lirmm-01054913⟩
  • Hassan Saneifar, Stéphane Bonniol, Pascal Poncelet, Mathieu Roche. From Terminology Extraction to Terminology Validation: An Approach Adapted to Log Files. Journal of Universal Computer Science, Graz University of Technology, Institut für Informationssysteme und Computer Medien, 2015, 21 (4), pp.604-636. ⟨http://www.jucs.org/jucs_21_4/from_terminology_extraction_to/jucs_21_04_0604_0635_saneifar.pdf⟩. ⟨lirmm-01184551⟩
  • Yoann Pitarch, Dino Ienco, Elodie Vintrou, Agnès Bégué, Anne Laurent, et al.. Spatio-temporal data classification through multidimensional sequential patterns: Application to crop mapping in complex landscape. Engineering Applications of Artificial Intelligence, Elsevier, 2015, 37, pp.91-102. ⟨10.1016/j.engappai.2014.09.001⟩. ⟨lirmm-01239175⟩
  • Florence Le Ber, Maguelonne Teisseire, Agnès Braud, Flavie Cernesson, Corinne Grac, et al.. Le projet Fresqueau. Exploiter les données massives concernant les cours d'eau. Ingéniérie des Systèmes d'Information, Lavoisier, 2014, 19 (3), pp.169-174. ⟨https://isi.revuesonline.com/article.jsp?articleId=19661⟩. ⟨hal-01581464⟩
  • Elias Egho, Nicolas Jay, Chedy Raïssi, Dino Ienco, Pascal Poncelet, et al.. A contribution to the discovery of multidimensional patterns in healthcare trajectories. Journal of Intelligent Information Systems, Springer Verlag, 2014, 42, pp.283 - 305. ⟨10.1007/s10844-014-0309-4⟩. ⟨hal-01094377⟩
  • Hassan Saneifar, Stéphane Bonniol, Pascal Poncelet, Mathieu Roche. Enhancing passage retrieval in log files by query expansion based on explicit and pseudo relevance feedback. Computers in Industry, Elsevier, 2014, 65 (6), pp.937-951. ⟨10.1016/j.compind.2014.02.010⟩. ⟨lirmm-01054896⟩
  • Mathieu Roche, Maguelonne Teisseire, Bruno Crémilleux, Pierre Gancarski, Christian Sallaberry, et al.. Animitex : Analyse d'Images fondée sur des Informations Textuelles. Revue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, Lavoisier, 2014, 19 (3), pp.163-167. ⟨lirmm-01054924⟩
  • Benjamin Duthil, François Trousset, Gérard Dray, Jacky Montmain, Pascal Poncelet. Vers une caractérisation automatique de critères pour l'opinion mining. Les Cahiers du numérique, Lavoisier, 2011, 7 (2), pp.41-62. ⟨lirmm-00798663⟩
  • Haoyuan Li, Anne Laurent, Pascal Poncelet. WebUser: mining unexpected web usage. International Journal of Business Intelligence and Data Mining, Inderscience, 2011, 6 (1), pp.90-111. ⟨10.1504/IJBIDM.2011.038276⟩. ⟨lirmm-00798139⟩
  • Julien Rabatel, Sandra Bringay, Pascal Poncelet. Anomaly Detection in Monitoring Sensor Data for Preventive Maintenance. Expert Systems with Applications, Elsevier, 2011, 38 (6), pp.7003-7015. ⟨http://www.sciencedirect.com/science/article/pii/S0957417410013771⟩. ⟨10.1016/j.eswa.2010.12.014⟩. ⟨lirmm-00670917⟩
  • Mickaël Fabrègue, Sandra Bringay, Pascal Poncelet, Maguelonne Teisseire, Béatrice Orsetti. Mining microarray data to predict the histological grade of a breast cancer. Journal of Biomedical Informatics, Elsevier, 2011, 44 (Suppl 1), pp.S12-S16. ⟨10.1016/j.jbi.2011.03.002⟩. ⟨hal-00654811⟩
  • Yoann Pitarch, Cécile Favre, Anne Laurent, Pascal Poncelet. Généralisation contextuelle de mesures dans les entrepôts de données - Application aux entrepôts de données médicales. Revue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, Lavoisier, 2011, Qualité des entrepôts de données, 16 (6), pp.67-90. ⟨lirmm-00798664⟩
  • Haoyuan Li, Anne Laurent, Pascal Poncelet. Discovery of Unexpected Recurrence Behaviors in Sequence Databases. International Journal of Computer Information Systems and Industrial Management Applications, Machine Intelligence Research Labs (MIR Labs), 2010, 2, pp.279-288. ⟨lirmm-00798703⟩
  • Haoyuan Li, Anne Laurent, Pascal Poncelet, Mathieu Roche. Extraction of Unexpected Sentences: A Sentiment Classification Assessed Approach. Intelligent Data Analysis, IOS Press, 2010, 14 (1), pp.31-46. ⟨10.3233/IDA-2010-0407⟩. ⟨lirmm-00401363⟩
  • Tassadit Bouadi, Sandra Bringay, Pascal Poncelet, Maguelonne Teisseire. Requêtes Skyline avec prise en compte des préférences utilisateurs pour des données volumineuses. Revue des Nouvelles Technologies de l'Information, Hermann, 2010, RNTI-E-19, pp.399-404. ⟨http://editions-rnti.fr/?inprocid=1001325&lg=en⟩. ⟨inria-00461362⟩
  • Jordi Nin, Anne Laurent, Pascal Poncelet. Speed up Gradual Rule Mining from Stream Data: A B-Tree and OWA-based Approach. Journal of Intelligent Information Systems, Springer Verlag, 2010, 35 (3), pp.447-463. ⟨10.1007/s10844-009-0112-9⟩. ⟨lirmm-00798704⟩
  • Yoann Pitarch, Anne Laurent, Marc Plantevit, Pascal Poncelet. Fenêtres sur Cube. Revue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, Lavoisier, 2010, Best Papers "Bases de Données Avancées 2008", 15 (1), pp.9-33. ⟨10.3166/isi.15.1.9-33⟩. ⟨lirmm-00798834⟩
  • Gérard Dray, Michel Plantié, Ali Harb, Pascal Poncelet, Mathieu Roche, et al.. Opinion Mining From Blogs. International Journal of Computer Information Systems and Industrial Management Applications, Machine Intelligence Research Labs (MIR Labs), 2009, 1, pp.205-213. ⟨lirmm-00798701⟩
  • Julien Rabatel, Sandra Bringay, Pascal Poncelet, Maguelonne Teisseire. Aide au diagnostic de pannes guidée par l'extraction de motifs séquentiels. Revue des Nouvelles Technologies de l'Information, Hermann, 2009, RNTI-E-18, pp.87-112. ⟨lirmm-00365274⟩
  • Gérard Dray, Michel Plantié, Ali Harb, Pascal Poncelet, Mathieu Roche, et al.. Opinion Mining From Blogs. International Journal of Computer Information Systems and Industrial Management Applications, Machine Intelligence Research Labs (MIR Labs), 2009, 1, pp.205-213. ⟨hal-00807963⟩
  • del Razo Lopez Federico, Anne Laurent, Pascal Poncelet, Maguelonne Teisseire. Tree mining: Equivalence classes for candidate generation. Intelligent Data Analysis, IOS Press, 2009, 13 (4), pp.555-573. ⟨10.3233/IDA-2009-0381⟩. ⟨lirmm-00798708⟩
  • Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire. Efficient Mining of Sequential Patterns with Time Constraints: Reducing the Combinations. Expert Systems with Applications, Elsevier, 2009, 36 (2), pp.2677-2690. ⟨10.1016/j.eswa.2008.01.021⟩. ⟨lirmm-00272632⟩
  • Haoyuan Li, Anne Laurent, Pascal Poncelet. Extraction de comportements inattendus dans le cadre du "Web Usage Mining". Revue des Nouvelles Technologies de l'Information, Hermann, 2009, E18 (2ème Numéro Spécial : Fouille de Données Complexes), pp.113-132. ⟨lirmm-00370352⟩
  • del Razo Lopez Federico, Anne Laurent, Pascal Poncelet, Maguelonne Teisseire. FTMnodes: Fuzzy tree mining based on partial inclusion. Fuzzy Sets and Systems, Elsevier, 2009, 160 (15), pp.2224-2240. ⟨10.1016/j.fss.2009.02.015⟩. ⟨lirmm-00798702⟩
  • Haoyuan Li, Anne Laurent, Pascal Poncelet. Discovering Fuzzy Unexpected Sequences with Concept Hierarchies. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, World Scientific Publishing, 2009, 17 (supp01), pp.113-134. ⟨10.1142/S0218488509006054⟩. ⟨lirmm-00401364⟩
  • Ali Harb, Michel Plantié, Mathieu Roche, Gérard Dray, François Trousset, et al.. Comment déterminer les adjectifs d'opinion d'un domaine donné. Revue des Sciences et Technologies de l'Information - Série Document Numérique, Lavoisier, 2008, 11 (1-2), pp.37-61. ⟨10.3166/dn.11.1-2.37-61⟩. ⟨hal-00353918⟩
  • Ali Harb, Michel Plantié, Mathieu Roche, Gérard Dray, François Trousset, et al.. Détection d'opinion. Comment déterminer les adjectifs d'opinion d'un domaine donné. Revue des Sciences et Technologies de l'Information - Série Document Numérique, Lavoisier, 2008, 11 (1-2), pp.37-61. ⟨10.3166/DN.11.1-2.37-61⟩. ⟨lirmm-00349236⟩
  • Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire, Alice Marascu. Web Usage Mining: Extracting Unexpected Periods from Web Logs. Data Mining and Knowledge Discovery, Springer, 2008, 16 (1), pp.039-065. ⟨10.1007/s10618-007-0080-z⟩. ⟨lirmm-00204872v2⟩
  • Chedy Raïssi, Toon Calders, Pascal Poncelet. Mining Conjunctive Sequential Patterns. Data Mining and Knowledge Discovery, Springer, 2008, 17 (1), pp.77-93. ⟨10.1007/s10618-008-0108-z⟩. ⟨lirmm-00345401⟩
  • Federico del Razo Lopez, Stéphane Sanchez, Anne Laurent, Pascal Poncelet, Maguelonne Teisseire. Data Structures for Efficient Tree Mining: From Crisp to Soft Embedding Constraints. International Journal of Applied Mathematics and Computer Science, De Gruyter, 2008, 1, pp.21. ⟨lirmm-00272444⟩
  • Chedy Raïssi, Pascal Poncelet. Random Sampling over Data Streams for Sequential Pattern Mining. La revue de Modulad, Modulad, 2007, 36, pp.61-66. ⟨lirmm-00204529⟩
  • Pierre-Alain Laur, Richard Nock, Jean-Émile Symphor, Pascal Poncelet. Mining Evolving data Streams for Frequent Patterns. Pattern Recognition, Elsevier, 2007, 40 (2), pp.492-503. ⟨10.1016/j.patcog.2006.03.006⟩. ⟨lirmm-00365474⟩
  • Chedy Raïssi, Pascal Poncelet, Maguelonne Teisseire. Towards a new approach for mining frequent itemsets on data stream. Journal of Intelligent Information Systems, Springer Verlag, 2007, 28 (1), pp.23-36. ⟨10.1007/s10844-006-0002-3⟩. ⟨lirmm-00197166⟩
  • Vishal Kapoor, Pascal Poncelet, François Trousset, Maguelonne Teisseire. Préservation de la vie privée : recherche de motifs séquentiels dans des bases de données distribuées. Revue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, Lavoisier, 2007, 12, pp.37-61. ⟨lirmm-00365480⟩
  • Florent Masseglia, Maguelonne Teisseire, Pascal Poncelet. Extraction de motifs séquentiels. Problèmes et méthodes. Revue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, Lavoisier, 2004, 9 (3/4), pp.183-210. ⟨10.3166/isi.9.3-4.183-210⟩. ⟨lirmm-00108563⟩
  • Florent Masseglia, Maguelonne Teisseire, Pascal Poncelet. HDM: A Client/Server/Engine Architecture for Real Time Web Usage Mining. Knowledge and Information Systems (KAIS), Springer, 2003, 5 (4), pp.439-465. ⟨10.1007/s10115-003-0097-6⟩. ⟨lirmm-00191952⟩
  • Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire. Incremental Mining of Sequential Patterns in Large Databases. Data and Knowledge Engineering, Elsevier, 2003, 46 (1), pp.97-121. ⟨10.1016/S0169-023X(02)00209-4⟩. ⟨lirmm-00269547⟩
  • Pierre-Alain Laur, Maguelonne Teisseire, Pascal Poncelet. Données semi-structurées. Découverte, maintenance et analyse de tendances. Revue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, Lavoisier, 2003, 8 (5-6), pp.49-78. ⟨10.3166/isi.8.5-6.49-78⟩. ⟨lirmm-00269698⟩

Conference papers147 documents

  • Tim Rossa, Pierre Pompidor, Nancy Rodriguez, Arnaud Sallaberry, Pascal Poncelet, et al.. Experimental web service and eye-tracking setup for unilateral spatial neglect assessment. HCI International, Jul 2019, Orlando, FL, United States. ⟨lirmm-02053010⟩
  • Rohan Goel, Samiha Fadloun, Sarah Valentin, Arnaud Sallaberry, Mathieu Roche, et al.. EpidNews: An Epidemiological News Explorer for Monitoring Animal Diseases. VINCI: Visual Information Communication and Interaction, Aug 2018, Växjö, Sweden. ⟨10.1145/3231622.3231624⟩. ⟨lirmm-01911990⟩
  • Samiha Fadloun, Arnaud Sallaberry, Alizé Mercier, Elena Arsevska, Pascal Poncelet, et al.. [Demo] Integration of text-and web-mining results in EpidVis. NLDB: Natural Language Processing and Information Systems, Jun 2018, Paris, France. pp.437-440, ⟨10.1007/978-3-319-91947-8_45⟩. ⟨lirmm-01851520⟩
  • Erick Cuenca, Arnaud Sallaberry, Dino Ienco, Pascal Poncelet. Visual Querying of Large Multilayer Graphs. SSDBM: Scientific and Statistical Database Management, Jul 2018, Bozen-Bolzano, Italy. pp.32-34, ⟨10.1145/3221269.3223027⟩. ⟨lirmm-01847422⟩
  • Jessica Pinaire, Jérôme Azé, Sandra Bringay, Pascal Poncelet, Christophe Genolini, et al.. PaFloChar: An Innovating Approach to Characterise Patient Flows in Myocardial Infarction. MIE: Medical Informatics Europe, Apr 2018, Goteborg, Sweden. pp.391-395. ⟨hal-01781095⟩
  • Yves Mercadier, Jérôme Azé, Sandra Bringay, Viviane Clavier, Erick Cuenca, et al.. #AIDS Analyse Information Dangers Sexualité : caractériser les discours à propos du VIH dans les forums de santé. IC: Ingénierie des Connaissances, AFIA, Jul 2018, Nancy, France. pp.71-86. ⟨hal-01839552⟩
  • Antoine Gourru, Julien Velcin, Mathieu Roche, Christophe Gravier, Pascal Poncelet. United we stand: Using multiple strategies for topic labeling. NLDB: Natural Language Processing and Information Systems, Jun 2018, Paris, France. pp.352-363, ⟨10.1007/978-3-319-91947-8_37⟩. ⟨lirmm-01910614⟩
  • Julien Velcin, Antoine Gourru, Erwan Giry-Fouquet, Christophe Gravier, Mathieu Roche, et al.. Readitopics: Make Your Topic Models Readable via Labeling and Browsing. IJCAI: International Joint Conference on Artificial Intelligence, Jul 2018, Stockholm, Sweden. ⟨lirmm-01910611⟩
  • Samiha Fadloun, Pascal Poncelet, Julien Rabatel, Mathieu Roche, Arnaud Sallaberry. Node Overlap Removal for 1D Graph Layout. IV: Information Visualisation, Jul 2017, London, United Kingdom. ⟨lirmm-01542283v2⟩
  • Jessica Pinaire, Jérôme Azé, Sandra Bringay, Pascal Poncelet, Christophe Genolini, et al.. Quels évènements après un infarctus du myocarde ?. SIIM: Symposium Ingénierie de l’Information Médicale, Nov 2017, Toulouse, France. ⟨hal-01652800⟩
  • Roberto Interdonato, Andrea Tagarelli, Dino Ienco, Arnaud Sallaberry, Pascal Poncelet. Node-Centric Community Detection in Multilayer Networks with Layer-Coverage Diversification Bias. CompleNet, Mar 2017, Dubrovnik, Croatia. pp.57-66, ⟨10.1007/978-3-319-54241-6_5⟩. ⟨lirmm-01912004⟩
  • Mike Donald Tapi Nzali, Amine Abdaoui, Jérôme Azé, Sandra Bringay, Christian Lavergne, et al.. FrenchSentiClass : un Système Automatisé pour la Classification de Sentiments en Français. DEFT: Défi Fouille de Texte, Jun 2017, Orléans, France. ⟨lirmm-01563411⟩
  • Jorge Valverde-Rebaza, Mathieu Roche, Pascal Poncelet, Alneu De, Andrade Lopes. Exploiting Social and Mobility Patterns for Friendship Prediction in Location-Based Social Networks. ICPR: International Conference on Pattern Recognition, Dec 2016, Cancun, Mexico. ⟨lirmm-01362397⟩
  • Tomy Rodrigues, Tiago Cunha, Dino Ienco, Pascal Poncelet, Carlos Soares. RetweetPatterns: Detection of Spatio-Temporal Patterns of Retweets. WorldCIST: World Conference on Information Systems and Technologies, Mar 2016, Recife, Brazil. pp.879-888, ⟨10.1007/978-3-319-31232-3_83⟩. ⟨lirmm-01362428⟩
  • Vijay Ingalalli, Dino Ienco, Pascal Poncelet. SuMGra: Querying Multigraphs via Efficient Indexing. DEXA: Database and Expert Systems Applications, Sep 2016, Porto, Portugal. pp.387-401, ⟨10.1007/978-3-319-44403-1_24⟩. ⟨lirmm-01362431⟩
  • Juan Antonio Lossio-Ventura, Hakim Hacid, Mathieu Roche, Pascal Poncelet. Communication Overload Management Through Social Interactions Clustering. SAC: Symposium on Applied Computing, Apr 2016, Pisa, Italy. pp.1166-1169, ⟨10.1145/2851613.2851984⟩. ⟨lirmm-01362442⟩
  • Romain Bourqui, Dino Ienco, Arnaud Sallaberry, Pascal Poncelet. Multilayer Graph Edge Bundling. PacificVis: Pacific Visualization Symposium, Apr 2016, Taipei, Taiwan. pp.184-188, ⟨10.1109/PACIFICVIS.2016.7465267⟩. ⟨lirmm-01304602⟩
  • Vijay Ingalalli, Dino Ienco, Pascal Poncelet, Serena Villata. Querying RDF Data Using A Multigraph-based Approach. EDBT: Extending Database Technology, Mar 2016, Bordeaux, France. ⟨lirmm-01245146⟩
  • Laura Cruz, José Ochoa, Mathieu Roche, Pascal Poncelet. Dictionary-Based Sentiment Analysis Applied to a Specific Domain. SIMBIg: Symposium on Information Management and Big Data, Sep 2016, Cusco, Peru. pp.57-68, ⟨10.1007/978-3-319-55209-5_5⟩. ⟨lirmm-01910683⟩
  • Julien Velcin, Mathieu Roche, Pascal Poncelet. Shallow Text Clustering Does Not Mean Weak Topics: How Topic Identification Can Leverage Bigram Features. DMNLP: Data Mining and Natural Language Processing, Sep 2016, Riva del Garda, Italy. ⟨lirmm-01362434⟩
  • Denis Redondo, Arnaud Sallaberry, Dino Ienco, Faraz Zaidi, Pascal Poncelet. Layer-Centered Approach for Multigraphs Visualization. IV: Information Visualisation, Jul 2015, Barcelone, Spain. pp.50-55, ⟨10.1109/iv.2015.20⟩. ⟨lirmm-01275379⟩
  • Amine Abdaoui, Mike Donald Tapi Nzali, Jérôme Azé, Sandra Bringay, Christian Lavergne, et al.. ADVANSE: Sentiment, Opinion and Emotion Analysis in French Tweets. DEFT: Défi Fouille de Texte, Jun 2015, Caen, France. ⟨hal-01222629⟩
  • Nhathai Phan, Dino Ienco, Donato Malerba, Pascal Poncelet, Maguelonne Teisseire. Mining Multi-Relational Gradual Patterns. SDM: SIAM Data Mining, Apr 2015, Vancouver, Canada. ⟨10.1137/1.9781611974010.95⟩. ⟨lirmm-01239187⟩
  • Pascal Poncelet. Opinion Mining: Taking into account the criteria!. SIMBig: Symposium on Information Management and Big Data, Sep 2015, Cusco, Peru. pp.17-18. ⟨lirmm-01379639⟩
  • Pascal Poncelet. Detecting Epidemics Using Data Mining Techniques. Tri-National Scientific Workshop Climate change: Observation, Analysis and Health, Oct 2015, Bogor, Indonesia. ⟨lirmm-01379601⟩
  • Amine Abdaoui, Jérôme Azé, Sandra Bringay, Pascal Poncelet. Assisting e-patients in an Ask the Doctor Service. MIE: Medical Informatics Europe, May 2015, Madrid, Spain. ⟨lirmm-01130746⟩
  • Amine Abdaoui, Jérôme Azé, Sandra Bringay, Pascal Poncelet. E-Patient reputation in Health Forums. MEDINFO: World Congress on Health and Biomedical Informatics, Aug 2015, São Paulo, Brazil. pp.137-141. ⟨lirmm-01131961⟩
  • Amine Abdaoui, Jérôme Azé, Sandra Bringay, Pascal Poncelet. Collaborative Content-Based Method for Estimating User Reputation in Online Forums. WISE: Web Information Systems Engineering, Nov 2015, Miami, United States. pp.292-299, ⟨10.1007/978-3-319-26187-4_26⟩. ⟨lirmm-01222961⟩
  • Flavien Bouillot, Pascal Poncelet, Mathieu Roche. Mesurer la proximité entre corpus par de nouveaux méta-descripteurs. CORIA: Conférence en Recherche d’Information et Applications, Mar 2015, Paris, France. pp.369-383. ⟨lirmm-01184560⟩
  • Flavien Bouillot, Pascal Poncelet, Mathieu Roche. De nouvelles pondérations adaptées à la classification de petits volumes de données textuelles. EGC: Extraction et Gestion des Connaissances, Jan 2014, Rennes, France. pp.131-142. ⟨lirmm-01054903⟩
  • Julien Rabatel, Sandra Bringay, Pascal Poncelet. Mining Representative Frequent Patterns in a Hierarchy of Contexts. IDA: Advances in Intelligent Data Analysis, Oct 2014, Leuven, Belgium. pp.239-250, ⟨10.1007/978-3-319-12571-8_21⟩. ⟨lirmm-01233519⟩
  • Soumia Melzi, Amine Abdaoui, Jérôme Azé, Sandra Bringay, Pascal Poncelet, et al.. Patient's rationale: Patient Knowledge retrieval from health forums. eTELEMED: eHealth, Telemedicine, and Social Medicine, 2014, Barcelone, Spain. ⟨lirmm-01130720⟩
  • Flavien Bouillot, Pascal Poncelet, Mathieu Roche. 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⟩. ⟨lirmm-01054900⟩
  • Amine Abdaoui, Jérôme Azé, Sandra Bringay, Natalia Grabar, Pascal Poncelet. Predicting Medical Roles in Online Health Fora. SLSP: Statistical Language and Speech Processing, Oct 2014, Grenoble, France. pp.247-258, ⟨10.1007/978-3-319-11397-5_19⟩. ⟨lirmm-01130749⟩
  • Amine Abdaoui, Jérôme Azé, Sandra Bringay, Pascal Poncelet, Natalia Grabar. Analyse des messages des patients et des médecins dans les fora de santé. Atelier IC & Santé, 2014, Clermont-Ferrand, France. ⟨lirmm-01130737⟩
  • Soumia Melzi, Amine Abdaoui, Jérôme Azé, Sandra Bringay, Pascal Poncelet, et al.. Que ressentent les patients ?. EGC: Extraction et Gestion des Connaissances, Jan 2014, Rennes, France. pp.449-454. ⟨lirmm-01130711⟩
  • Pierre Accorsi, Arnaud Sallaberry, Nathalie Lalande, Sandra Bringay, Florence Le Ber, et al.. HydroQual: Visual analysis of river water quality. VAST: Visual Analytics Science and Technology, Nov 2014, Paris, France. pp.123-132, ⟨10.1109/VAST.2014.7042488⟩. ⟨lirmm-01275383⟩
  • Julien Rabatel, Madalina Croitoru, Dino Ienco, Pascal Poncelet. Contextual Itemset Mining in DBpedia. LD4KD: Linked Data for Knowledge Discovery, Sep 2014, Nancy, France. ⟨lirmm-01076887⟩
  • Mar Bisquert, Agnès Bégué, Pascal Poncelet, Maguelonne Teisseire. Evaluation of fusion methods for crop monitoring purposes. IGARSS: International Geoscience and Remote Sensing Symposium, Jul 2014, Québec, Canada. pp.1429-1432, ⟨10.1109/IGARSS.2014.6946704⟩. ⟨hal-01507098⟩
  • Sandra Bringay, Eric Kergosien, Pierre Pompidor, Pascal Poncelet. Identifier la cible des émotions dans les forums de santé. IC: Ingénierie des Connaissances, May 2014, Clermont-Ferrand, France. pp.163-174. ⟨hal-01015392⟩
  • Phan Nhat Hai, Dino Ienco, Pascal Poncelet, Maguelonne Teisseire. Mining Representative Movement Patterns through Compression. PAKDD: 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⟩. ⟨lirmm-00798072⟩
  • Enikö Székely, Pascal Poncelet, Florent Masseglia, Maguelonne Teisseire, Renaud Cezar. A Density-Based Backward Approach to Isolate Rare Events in Large-Scale Applications. DS: Discovery Science, Oct 2013, Singapore, Singapore. pp.249-264, ⟨10.1007/978-3-642-40897-7_17⟩. ⟨lirmm-00907893⟩
  • Perfecto Malaquias Quintero Flores, Del Razo Lopez Federico, Anne Laurent, Sicard Nicolas, Pascal Poncelet. Fuzzy Orderings for Fuzzy Gradual Dependencies: Efficient Storage of Concordance Degrees. WCCI: World Congress on Computational Intelligence, Jun 2012, Brisbane, Australia. pp.1-8, ⟨10.1109/FUZZ-IEEE.2012.6251326⟩. ⟨lirmm-00736785⟩
  • Dino Ienco, Yoann Pitarch, Pascal Poncelet, Maguelonne Teisseire. Towards an Automatic Construction of Contextual Attribute-Value Taxonomies. SAC: Symposium on Applied Computing, Mar 2012, Riva del Garda, Trento, Italy. pp.113-118, ⟨10.1145/2245276.2245301⟩. ⟨lirmm-00798075⟩
  • Hassan Saneifar, Stéphane Bonniol, Pascal Poncelet, Mathieu Roche. Segmentation des fichiers logs. EGC: Extraction et Gestion des Connaissances, 2012, Bordeaux, France. pp.381-386. ⟨lirmm-00798233⟩
  • Flavien Bouillot, Pascal Poncelet, Mathieu Roche, Dino Ienco, Elnaz Bigdeli, et al.. 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⟩. ⟨lirmm-00801028⟩
  • Phan Nhat Hai, Dino Ienco, Pascal Poncelet, Maguelonne Teisseire. Mining Time Relaxed Gradual Moving Object Clusters. ACM SIGSPATIAL GIS, Nov 2012, Redondo Beach, United States. pp.478-481, ⟨10.1145/2424321.2424394⟩. ⟨lirmm-00798076⟩
  • Flavien Bouillot, Pascal Poncelet, Mathieu Roche. How and why exploit tweet's location information?. AGILE'2012: 15th International Conference on Geographic Information Science, Avignon, France. pp.N/A. ⟨lirmm-00723570⟩
  • Benjamin Duthil, François Trousset, Gérard Dray, Pascal Poncelet, Jacky Montmain. Extraction d'opinions appliquée à des critères. EGC: Extraction et Gestion des Connaissances, Jan 2012, Bordeaux, France. pp.453-458. ⟨lirmm-00798245⟩
  • Phan Nhat Hai, Dino Ienco, Pascal Poncelet, Maguelonne Teisseire. Mining Fuzzy Moving Object Clusters. ADMA: Advanced Data Mining and Applications, Dec 2012, Nanjing, China. pp.100-114, ⟨10.1007/978-3-642-35527-1_9⟩. ⟨lirmm-00798148⟩
  • Benjamin Duthil, François Trousset, Gérard Dray, Jacky Montmain, Pascal Poncelet. Opinion Extraction Applied to Criteria. DEXA'2012: 23rd International Conference on Database and Expert Systems Applications, Sep 2012, Vienna, Austria. pp.457-465. ⟨lirmm-00732663⟩
  • Phan Nhat Hai, Pascal Poncelet, Maguelonne Teisseire. GET_MOVE: An Efficient and Unifying Spatio-Temporal Pattern Mining Algorithm for Moving Objects. IDA: Intelligent Data Analysis, Oct 2012, Helsinski, Finland. pp.276-288. ⟨lirmm-00732660⟩
  • Phan Nhat Hai, Dino Ienco, Pascal Poncelet, Maguelonne Teisseire. Extracting Trajectories through an Efficient and Unifying Spatio-Temporal Patten Mining System. ECML PKDD: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2012, Bristol, United Kingdom. pp.820-823. ⟨lirmm-00732662⟩
  • Didier Breton, Sandra Bringay, François Marques, Pascal Poncelet, Mathieu Roche. Epimining: Using Web News for Influenza Surveillance. DMHM: Data Mining for Healthcare Management, May 2012, Kuala Lumpur, Malaysia. pp.11-21. ⟨lirmm-00723582⟩
  • Dino Ienco, Yoann Pitarch, Pascal Poncelet, Maguelonne Teisseire. Vers une méthode automatique de construction de hiérarchies contextuelles. EGC: Extraction et Gestion des Connaissances, 2012, Bordeaux, France. pp.335-346. ⟨lirmm-00798254⟩
  • Phan Nhat Hai, Pascal Poncelet, Maguelonne Teisseire. An Efficient Spatio-Temporal Mining Approach to Really Know Who Travels with Whom!. BDA: Bases de Données Avancées, 2012, Clermont-Ferrand, France. ⟨lirmm-00798222⟩
  • Yoann Pitarch, Cécile Favre, Anne Laurent, Pascal Poncelet. Enhancing Flexibility and Expressivity of Contextual Hierarchies. FUZZ: Fuzzy Systems, Jun 2012, Brisbane, QLD, Australia. pp.1-8, ⟨10.1109/FUZZ-IEEE.2012.6251176⟩. ⟨lirmm-00798078⟩
  • Yoann Pitarch, C. Favre, Anne Laurent, Pascal Poncelet. Vers davantage de flexibilité et d'expressivité dans les hiérarchies contextuelles des entrepôts de données. EGC: Extraction et Gestion des Connaissances, Jan 2012, Bordeaux, France. ⟨lirmm-00798260⟩
  • Elias Egho, Dino Ienco, Nicolas Jay, Amedeo Napoli, Pascal Poncelet, et al.. Healtcare Trajectory Mining by Combining Multi-dimensional Component and Itemsets. NFMCP: New Frontiers in Mining Complex Patterns, Sep 2012, Bristol, United Kingdom. ⟨10.1007/978-3-642-37382-4_8⟩. ⟨lirmm-00732661⟩
  • Elias Egho, Chedy Raïssi, Dino Ienco, Nicolas Jay, Amedeo Napoli, et al.. Healthcare trajectory mining by combining multidimensional component and itemsets. ECML-PKDD 2012, Sep 2012, Bristol, United Kingdom. p. 116 - p. 127. ⟨hal-00801813⟩
  • Imen Brahmi, Sadok Ben Yahia, Pascal Poncelet. Mining Approximate Frequent Closed Flows over Packet Streams. DaWaK: Data Warehousing and Knowledge Discovery, Aug 2011, Toulouse, France. pp.419-431, ⟨10.1007/978-3-642-23544-3_32⟩. ⟨lirmm-00798308⟩
  • Phan Nhat Hai, Pascal Poncelet, Maguelonne Teisseire. Moving Objects: Combining Gradual Rules and Spatial-Temporal Patterns. ICSDM: International Conference on Spatial Data Mining and Geographical Knowledge Services, Jun 2011, Fuzhou, China. pp.131-136, ⟨10.1109/ICSDM.2011.5969019⟩. ⟨lirmm-00798312⟩
  • Benjamin Duthil, François Trousset, Mathieu Roche, Gérard Dray, Michel Plantié, et al.. Towards an Automatic Characterization of Criteria. DEXA, 22nd International Conference on Database and Expert Systems Applications, Aug 2011, TOULOUSE, France. pp.1. ⟨hal-00804737⟩
  • Imen Brahmi, Sadok Ben Yahia, Hamed Aouadi, Pascal Poncelet. Towards a Multiagent-Based Distributed Intrusion Detection System Using Data Mining Approaches. ADMI: Agents and Data Mining Interaction, 2011, Taipei, Taiwan. pp.173-194, ⟨10.1007/978-3-642-27609-5_12⟩. ⟨lirmm-00798316⟩
  • Benjamin Duthil, François Trousset, Mathieu Roche, Gérard Dray, Michel Plantié, et al.. Towards an Automatic Characterization of Criteria. DEXA: Database and Expert Systems Applications, Aug 2011, Toulouse, France. pp.457-465, ⟨10.1007/978-3-642-23088-2_34⟩. ⟨lirmm-00723579⟩
  • Perfecto Malaquias Quintero Flores, Anne Laurent, Pascal Poncelet. Fuzzy Orderings for Fuzzy Gradual Patterns. FQAS: Flexible Query Answering Systems, Oct 2011, Ghent, Belgium. pp.001-012. ⟨lirmm-00608361⟩
  • Sandra Bringay, Nicolas Béchet, Baptiste Bouillot, Pascal Poncelet, Mathieu Roche, et al.. Analyse de gazouillis en ligne. EDA: Entrepôts de Données et Analyse en ligne, Jun 2011, Clermont-Ferrand, France. ⟨hal-00828003⟩
  • Hassan Saneifar, Stéphane Bonniol, Pascal Poncelet, Mathieu Roche. Identification des divisions logiques de fichiers logs. SFC: Société Francophone de Classification, Sep 2011, Orléans, France. pp.91-94. ⟨lirmm-00723590⟩
  • Imen Brahmi, Sadok Ben Yahia, Pascal Poncelet. A Snort-based Mobile Agent for a Distributed Intrusion Detection System. SECRYPT: Security and Cryptography, Jul 2011, Seville, Spain. pp.198-207. ⟨lirmm-00798311⟩
  • Sarra Ayouni, Sadok Ben Yahia, Anne Laurent, Pascal Poncelet. Genetic Programming for Optimizing Fuzzy Gradual Pattern Discovery. EUSFLAT-LFA: European Society for Fuzzy Logic and Technology, 2011, Aix les Bains, France. pp.305-310. ⟨lirmm-00825334⟩
  • Sandra Bringay, Nicolas Béchet, Flavien Bouillot, Pascal Poncelet, Mathieu Roche, et al.. Towards an On-Line Analysis of Tweets Processing. DEXA: Database and Expert Systems Applications, Aug 2011, Toulouse, France. pp.154-161, ⟨10.1007/978-3-642-23091-2_15⟩. ⟨hal-00636285⟩
  • Julien Rabatel, Mickaël Fabrègue, Sandra Bringay, Pascal Poncelet, Maguelonne Teisseire. Prédiction du grade d'un cancer du sein par la découverte de motifs séquentiels contextuels dans des puces à ADN. ECS: Extraction de Connaissances et Santé, 2011, Brest, France. pp.37-48. ⟨lirmm-00671007⟩
  • C. Favre, Anne Laurent, Yoann Pitarch, Pascal Poncelet. Représentation graphique des hiérarchies contextuelles : modèles avec satellites. EDA: Entrepôts de Données et Analyse en ligne, 2011, Clermont-Ferrand, France. pp.23-38. ⟨lirmm-00798665⟩
  • Yoann Pitarch, Dominique Laurent, Pascal Poncelet, Nicolas Spyratos. TIGER: Querying a Relational Table through Criteria Extension. SoCPaR: Soft Computing and Pattern Recognition, Dec 2010, Paris, France. pp.111-118. ⟨lirmm-00798801⟩
  • Sarra Ayouni, Sadok Ben Yahia, Anne Laurent, Pascal Poncelet. Motifs Graduels Clos. EGC: Extraction et Gestion des Connaissances, Jan 2010, Hammamet, Tunisie. pp.211-216. ⟨lirmm-00504004⟩
  • Sandra Bringay, Anne Laurent, Pascal Poncelet, Mathieu Roche, Maguelonne Teisseire. Bien cube, les données textuelles peuvent s'agréger !. EGC: Extraction et Gestion des Connaissances, Jan 2010, Hammamet, Tunisie. pp.585-596. ⟨lirmm-00588562⟩
  • Hassan Saneifar, Stéphane Bonniol, Anne Laurent, Pascal Poncelet, Mathieu Roche. Passage Retrieval in Log Files: An Approach Based on Query Enrichment. NLP: Natural Language Processing, Aug 2010, Reykjavík, Iceland. pp.357-368, ⟨10.1007/978-3-642-14770-8_39⟩. ⟨lirmm-00816291⟩
  • Sarra Ayouni, Anne Laurent, Sadok Benyahia, Pascal Poncelet. Mining Closed Gradual Patterns. ICAISC: International Conference on Artificial Intelligence and Soft Computing, Jun 2010, Zakopane, Poland. pp.267-274, ⟨10.1007/978-3-642-13208-7\_34⟩. ⟨lirmm-00504029⟩
  • Hassan Saneifar, Stéphane Bonniol, Anne Laurent, Pascal Poncelet, Mathieu Roche. Recherche de passages pertinents dans les fichiers logs par enrichissement de requêtes. CORIA: Conférence francophone en Recherche d'Information et Applications, 2010, Sousse, Tunisie. pp.239-254. ⟨lirmm-00816296⟩
  • Sandra Bringay, Anne Laurent, Pascal Poncelet, Mathieu Roche, Maguelonne Teisseire. Bien cube, les données textuelles peuvent s'agréger !. EGC: Extraction et Gestion des Connaissances, Jan 2010, Hammamet, Tunisie. pp.585-596. ⟨hal-00490255⟩
  • Yoann Pitarch, Lionel Vinceslas, Anne Laurent, Pascal Poncelet, Jean-Émile Symphor. SALINES : un automate au service de l'extraction de motifs sequentiels multidimensionnels.. EGC: Extraction et Gestion des Connaissances, Jan 2010, Hammamet, Tunisie. pp.49-54. ⟨hal-00502002⟩
  • Yoann Pitarch, Dominique Laurent, Pascal Poncelet, Nicolas Spyratos. TIGER: Querying Large Tables through Criterion Extension. Int. Conference on Soft Computing and Pattern Recognition (SoCPaR'2010), 2010, France. 8 p. ⟨hal-00612813⟩
  • Didier Breton, Mathieu Roche, Pascal Poncelet, François Marques. Analyse de dépêches pour l'épidémiologie. IC: Ingenierie des Connaissances, Jun 2010, Nîmes, France. ⟨lirmm-00588599⟩
  • Benjamin Rosoor, Laurent Sebag, Sandra Bringay, Pascal Poncelet, Mathieu Roche. Quand un tweet détecte une catastrophe naturelle.... VSST: Veille Stratégique Scientifique et Technologique, Oct 2010, Toulouse, France. ⟨lirmm-00588596⟩
  • Julien Rabatel, Sandra Bringay, Pascal Poncelet. Aide à la décision pour la maintenance ferroviaire préventive. EGC: Extraction et Gestion des Connaissances, Jan 2010, Hammamet, Tunisie. pp.363-368. ⟨lirmm-00503143⟩
  • Yoann Pitarch, Dominique Laurent, Pascal Poncelet, Nicolas Spyratos. TIGER : Interrogation d'une table relationnelle par extension de critères. BDA: Bases de Données Avancées, 2010, Toulouse, France. ⟨hal-00661533⟩
  • Julien Rabatel, Sandra Bringay, Pascal Poncelet. Fuzzy Anomaly Detection in Monitoring Sensor Data. FUZZ: Fuzzy Systems, Jul 2010, Barcelone, Spain. ⟨lirmm-00503132⟩
  • Perfecto Malaquias Quintero Flores, Del Razo Lopez Federico, Anne Laurent, Pascal Poncelet. Extraction de règles linguistiques floues par programmation gènétique. LFA'10 : Logique Floue et ses Applications, Nov 2010, France. pp.8. ⟨lirmm-00504072⟩
  • Yoann Pitarch, Anne Laurent, Pascal Poncelet. Une structure basée sur les hiérarchies pour synthétiser les itemsets fréquents extraits dans des fenêtres temporelles. EGC: Extraction et gestion des connaissances, Jan 2010, Hammamet, Tunisie. pp.711-712. ⟨hal-00502026⟩
  • Tassadit Bouadi, Sandra Bringay, Pascal Poncelet, Maguelonne Teisseire. Requêtes skyline avec prise en compte des préférences utilisateurs pour des données volumineuses. EGC: Extraction et Gestion des Connaissances, Jan 2010, Hammamet, Tunisie. ⟨hal-00529201⟩
  • Julien Rabatel, Sandra Bringay, Pascal Poncelet. Contextual Sequential Pattern Mining. DDDM: Domain Driven Data Mining, Dec 2010, Sydney, NSW, Australia. pp.981-988, ⟨10.1109/ICDMW.2010.182⟩. ⟨lirmm-00670950⟩
  • Sarra Ayouni, Sadok Ben Yahia, Anne Laurent, Pascal Poncelet. Fuzzy gradual patterns: What fuzzy modality for what result?. SoCPaR: International Conference of Soft Computing and Pattern Recognition, 2010, Paris, France. pp.224-230. ⟨lirmm-00798797⟩
  • Sandra Bringay, Mathieu Roche, Maguelonne Teisseire, Pascal Poncelet, Ronza Abdel Rassoul, et al.. Discovering novelty in sequential patterns: application for analysis of microarray data on Alzheimer disease. MedInfo: Congress on Medical Informatics, Sep 2010, Cape Town, South Africa. pp.1314-1318. ⟨hal-00558156⟩
  • Yoann Pitarch, Anne Laurent, Pascal Poncelet. Summarizing Multidimensional Data Streams : A Hierarchy-Graph-Based Approach. 14th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining (PAKKD2010), Jun 2010, Hyderabad, India. pp.335-342, ⟨10.1007/978-3-642-13672-6_33⟩. ⟨hal-00502037⟩
  • Yoann Pitarch, C. Favre, Anne Laurent, Pascal Poncelet. Context-Aware Generalization for Cube Measures. DOLAP: Data Warehousing and OLAP, Oct 2010, Toronto, Canada. pp.99-104, ⟨10.1145/1871940.1871961⟩. ⟨lirmm-00798821⟩
  • Yoann Pitarch, Anne Laurent, Pascal Poncelet. A Hierarchy-Based Method for Synthesizing Frequent Itemsets Extracted from Temporal Windows. SoCPaR: Soft Computing and Pattern Recognition, Dec 2009, Malacca, Malaysia. pp.136-142, ⟨10.1109/SoCPaR.2009.38⟩. ⟨lirmm-00426492⟩
  • Julien Rabatel, Sandra Bringay, Pascal Poncelet. SO_MAD: SensOr Mining for Anomaly Detection in Railway Data. ICDM: Industrial Conference on Data Mining, Jul 2009, Leipzig, Germany. pp.191-205, ⟨10.1007/978-3-642-03067-3_16⟩. ⟨lirmm-00394298⟩
  • Yoann Pitarch, Pascal Poncelet, Anne Laurent, Marc Plantevit. Multidimensional Data Streams Summarization Using Extended Tilted-Time Windows. FINA: Frontiers of Information Systems and Network Applications, May 2009, Bradford, United Kingdom. pp.102-106, ⟨10.1109/WAINA.2009.145⟩. ⟨lirmm-00426480⟩
  • Hassan Saneifar, Stéphane Bonniol, Anne Laurent, Pascal Poncelet, Mathieu Roche. Terminology Extraction from Log Files. DEXA: Database and Expert Systems Applications, Aug 2009, Linz, Austria. pp.769-776, ⟨10.1007/978-3-642-03573-9_65⟩. ⟨lirmm-00423940⟩
  • Payas Gupta, Chedy Raïssi, Gérard Dray, Pascal Poncelet, Johan Brissaud. SS-IDS: Statistical Signature Based IDS. ICIW: International Conference on Internet and Web Applications and Services, May 2009, Venice, Italy. pp.1-6. ⟨lirmm-00365067⟩
  • François Trousset, Pascal Poncelet, Florent Masseglia. SAX: A Privacy Preserving General Purpose Method applied to Detection of Intrusions. ACM First International Workshop on Privacy and Anonymity for Very Large Datasets, join with CIKM 09, Nov 2009, Hong Kong, China. pp.17-24. ⟨lirmm-00430646⟩
  • Haoyuan Li, Anne Laurent, Mathieu Roche, Pascal Poncelet. Recherche de sentiments opposés par une approche floue à partir de textes libres. LFA'08 : Rencontres Francophones sur la Logique Floue et ses Applications, pp.26-33. ⟨lirmm-00324587⟩
  • Haoyuan Li, Anne Laurent, Pascal Poncelet. Recognizing Unexpected Recurrence Behaviors with Fuzzy Methods in Sequence Databases. CSTST'08: International Conference on Soft Computing as Transdisciplinary Science and Technology, pp.37-43. ⟨lirmm-00324590⟩
  • Lionel Vinceslas, Jean-Émile Symphor, Alban Mancheron, Pascal Poncelet. Spams, une nouvelle approche incrémentale pour l'extraction de motifs séquentiels fréquents dans les Data streams. EGC: Extraction et Gestion des Connaissances, Jan 2009, Strasbourg, France. pp.205-216. ⟨lirmm-00345563⟩
  • Waddey Moez, Pascal Poncelet, Sadok Ben Yahia. A Novel Approach For Privacy Mining Of Generic Basic Association Rules. ACM First International Workshop on Privacy and Anonymity for Very Large Datasets, join with CIKM'09, France. pp.45-52. ⟨lirmm-00434320⟩
  • Haoyuan Li, Anne Laurent, Pascal Poncelet. Discovering Fuzzy Unexpected Sequences with Beliefs. IPMU'08: 12th International Conference of Information Processing and Management of Uncertainty in Knowledge-Based Systems, pp.1709-1716. ⟨lirmm-00275951⟩
  • Haoyuan Li, Anne Laurent, Pascal Poncelet. Mining Unexpected Web Usage Behaviors. ICDM'08: 8th Industrial Conference on Data Mining, pp.283-297. ⟨lirmm-00275952⟩
  • Haoyuan Li, Anne Laurent, Mathieu Roche, Pascal Poncelet. Extraction of Opposite Sentiments in Classified Free Format Text Reviews. DEXA'2008: 19th International Conference on Database and Expert Systems Applications, Turin, Italy. pp.710-717, ⟨10.1007/978-3-540-85654-2_62⟩. ⟨lirmm-00324582⟩
  • Hassan Saneifar, Stéphane Bonniol, Anne Laurent, Pascal Poncelet, Mathieu Roche. Processus d'extraction et de validation de la terminologie issue de logs. JFO'09 : 3èmes Journées Francophones sur les Ontologies, Poitiers, France. pp.1-10. ⟨lirmm-00423951⟩
  • Hassan Saneifar, Stéphane Bonniol, Anne Laurent, Pascal Poncelet, Mathieu Roche. Mining for Relevant Terms From Log Files. KDIR'09: International Conference on Knowledge Discovery and Information Retrieval, Oct 2009, Madeira, Portugal. pp.77-84. ⟨lirmm-00423947⟩
  • Yoann Pitarch, Anne Laurent, Pascal Poncelet. A Conceptual Model for Handling Personalized Hierarchies in Multidimensional Databases. MEDES'09: The International ACM Conference on Management of Emergent Digital EcoSystems, Oct 2009, pp.001-004. ⟨lirmm-00426501⟩
  • Goverdhan Singh, Florent Masseglia, Céline Fiot, Alice Marascu, Pascal Poncelet. Data Mining for Intrusion Detection: from Outliers to True Intrusions. The 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-09), Apr 2009, Bankok, Thailand. pp.891-898, ⟨10.1007/978-3-642-01307-2_93⟩. ⟨inria-00359206v2⟩
  • Goverdhan Singh, Florent Masseglia, Céline Fiot, Alice Marascu, Pascal Poncelet. Collaborative Outlier Mining for Intrusion Detection. EGC: Extraction et Gestion des Connaissances, Jan 2009, Strasbourg, France. pp.313-323. ⟨lirmm-00345574⟩
  • Nischal Verma, François Trousset, Pascal Poncelet, Florent Masseglia. Détection d'intrusions dans un environnement collaboratif sécurisé. EGC: Extraction et Gestion des Connaissances, Jan 2009, Strasbourg, France. pp.301-312. ⟨lirmm-00345566⟩
  • Jean-Émile Symphor, Alban Mancheron, Lionel Vinceslas, Pascal Poncelet. 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, Nice, France. pp.157-168. ⟨hal-00447420⟩
  • Lionel Vinceslas, Jean-Émile Symphor, Alban Mancheron, Pascal Poncelet. FIASCO : un nouvel algorithme d'extraction d'itemsets fréquents dans les flots de données.. EGC: Extraction et Gestion des Connaissances, Jan 2008, Nice, France. pp.235-236. ⟨hal-00447421⟩
  • Florent Masseglia, Maguelonne Teisseire, Pascal Poncelet. Real Time Web Usage Mining with a Distributed Navigation Analysis. RIDE'02: International Workshop on Research Issues on Data Engineering, San Jose, USA, pp.6. ⟨lirmm-00268631⟩
  • Florent Masseglia, Maguelonne Teisseire, Pascal Poncelet. HDM, un Module de Fouille de Données Distribué et Temps Réel. EGC'02: Extraction et Gestion des Connaissances, pp.393-398. ⟨lirmm-00268518⟩
  • Yoann Pitarch, Anne Laurent, Marc Plantevit, Pascal Poncelet. Fenêtres sur cubes. BDA: Bases de Données Avancées, Oct 2008, Guilherand-Granges, Ardèche, France. ⟨lirmm-00324487⟩
  • Ali Harb, Michel Plantié, Gérard Dray, Mathieu Roche, François Trousset, et al.. Web Opinion Mining: How to extract opinions from blogs?. CSTST'08: International Conference on Soft Computing as Transdisciplinary Science and Technology, pp.7. ⟨lirmm-00329525⟩
  • Haoyuan Li, Anne Laurent, Pascal Poncelet. Découverte de motifs séquentiels et de règles inattendus. EGC'08 : 8ièmes Journées Francophones Extraction et Gestion des Connaissances, pp.535-540. ⟨lirmm-00275950⟩
  • Chedy Raïssi, Toon Calders, Pascal Poncelet. Mining Conjunctive Sequential Patterns. ECML PKDD: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2008, Antwerp, Belgium. pp.77-93. ⟨lirmm-00365482⟩
  • Pierre-Alain Laur, Maguelonne Teisseire, Pascal Poncelet. AUSMS: An Environment for Frequent Sub-Substructures Extraction in a Semi-Structured Object Collection. DEXA'03: 14th International Conference on Database and Expert Systems Applications, Prague (Czech Republic), pp. 38-45. ⟨lirmm-00269700⟩
  • Michel Plantié, Mathieu Roche, Gérard Dray, Pascal Poncelet. Is a Voting Approach Accurate for Opinion Mining?. DaWaK: Data Warehousing and Knowledge Discovery, Sep 2008, Torino, Italy. pp.413-422, ⟨10.1007/978-3-540-85836-2_39⟩. ⟨hal-00353944⟩
  • Haoyuan Li, Anne Laurent, Pascal Poncelet. Towards Unexpected Sequential Patterns. Atelier Bases de Données Inductives, Plateforme Afia, Grenoble, France. ⟨lirmm-00275948⟩
  • Gérard Dray, P. Gupta, C. Raissi, Pascal Poncelet, J. Brissaud.. Détection d'intrusions : de l'utilisation de signatures statistiques. Fouille de Données Complexes 2008, Jan 2008, France. p. 105-116. ⟨hal-00822305⟩
  • Ali Harb, Gérard Dray, Michel Plantié, Pascal Poncelet, Mathieu Roche, et al.. 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. ⟨lirmm-00277785⟩
  • Chedy Raïssi, Johan Brissaud, Gérard Dray, Pascal Poncelet, Mathieu Roche, et al.. Web Analyzing Traffic Challenge: Description and Results. ECML/PKDD'2007 Discovery Challenge, 2007, France. pp.6. ⟨lirmm-00168955⟩
  • Chedy Raïssi, Pascal Poncelet. Vers une nouvelle approche d'extraction des motifs séquentiels non-dérivables. EGC: Extraction et Gestion des Connaissances, Jan 2007, Namur, Belgique. pp.307-318. ⟨lirmm-00197189⟩
  • Chedy Raïssi, Pascal Poncelet. Sampling For Sequential Pattern Mining: From Static Databases to Data Streams. ICDM'07: International Conference on Data Mining, 2007, P., France. pp.6. ⟨lirmm-00204524⟩
  • Gérard Dray, C. Raissi, J. Brissaud, Gérard Dray, Pascal Poncelet, et al.. Web Analysis Traffic Challenge: Description and Results. Discovery Challenge ECML/PKDD, Sep 2007, Poland. ⟨hal-00822307⟩
  • Federico Del Razo Lopez, Anne Laurent, Pascal Poncelet, Maguelonne Teisseire. Fuzzy Tree Mining: Go Soft on Your Nodes. IFSA: International Fuzzy Systems Association World Congress, Jun 2007, Cancun, Mexico. pp.145-154, ⟨10.1007/978-3-540-72950-1_15⟩. ⟨lirmm-00272118⟩
  • Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire. Peer-to-Peer Usage Analysis: a Distributed Mining Approach. AINA: Advanced Information Networking and Applications, 2006, Vienna, Austria. ⟨hal-00106798⟩
  • Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire, Alice Marascu. Usage Mining : extraction de périodes denses à partir des logs. Extraction et Gestion des Connaissances, Jan 2006, Lille, France. ⟨inria-00461840⟩
  • Chedy Raïssi, Pascal Poncelet, Maguelonne Teisseire. SPEED : Mining Maxirnal Sequential Patterns over Data Strearns. IS: Intelligent Systems, Sep 2006, London, United Kingdom. pp.546-552, ⟨10.1109/IS.2006.348478⟩. ⟨hal-00134387⟩
  • Vishal Kapoor, Pascal Poncelet, François Trousset, Maguelonne Teisseire. Privacy Preserving Sequential Pattern Mining in Distributed Databases. CIKM'06: 15th International Conference on Information and Knowledge Management, Nov 2006, USA, pp.758-767. ⟨lirmm-00135021⟩
  • Stéphane Sanchez, Anne Laurent, Pascal Poncelet, Maguelonne Teisseire. FuzBT: a Binary Approach for Fuzzy Tree Mining. IPMU: Information Processing and Management of Uncertainty in Knowledge-Based Systems, Jul 2006, Paris, France. ⟨lirmm-00135015⟩
  • Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire, Alice Marascu. Web Usage Mining: Extracting Unexpected Periods from Web Logs. IEEE 2nd Workshop on Temporal Data Mining (TDM'05). Held in conjunction with ICDM'05, Nov 2005, Houston, United States. ⟨inria-00461877⟩
  • Chedy Raïssi, Pascal Poncelet, Maguelonne Teisseire. Need For Speed: Mining Sequential Patterns in Data Stream. BDA: Bases de Données Avancées, Oct 2005, Saint-Malo. ⟨lirmm-00106085⟩
  • Federico Del Razo Lopez, Anne Laurent, Pascal Poncelet, Maguelonne Teisseire. RSF - A New Tree Mining Approach with an Efficient Data Structure. EUSFLAT'05: European Society for Fuzzy Logic and Technology, Sep 2005, Barcelona (Spain), pp.1088-1093. ⟨lirmm-00106090⟩
  • Michel Plantié, Gérard Dray, Jacky Montmain, Alexandre Meimouni, Pascal Poncelet. DEFI DEFT05 : une approche par classifieur de Bayes. DEFI DEFT05 : une approche par classifieur de Bayes, 2005, Dourdan, France. ⟨hal-00353914⟩
  • Philippe Collet, Vincent Derozier, Gérard Dray, François Trousset, Pascal Poncelet, et al.. Tendances dans les expressions de gènes : application à l'analyse du transcriptome de Plasmodium Falciparum. EGC 2005, Extraction et Gestion des Connaissances, Jan 2005, Paris, France. pp.649. ⟨hal-00353790⟩
  • Florent Masseglia, Maguelonne Teisseire, Pascal Poncelet. Pre-Processing Time Constraints for Efficiently Mining Generalized Sequential Patterns. TIME'04: 11th International Symposium on Temporal Representation and Reasoning, Jul 2004, Tatihou, Basse-Normandie (France), pp.87-95. ⟨lirmm-00108888⟩
  • Pierre-Alain Laur, Maguelonne Teisseire, Pascal Poncelet. AUSMS: An Environment for Frequent Sub-Substructures Extraction in a Semi-Structured Object Collection. DEXA'03: 14th International Conference on Database and Expert Systems Applications, Prague (Czech Republic), pp.38-45. ⟨lirmm-00191954⟩
  • Pierre-Alain Laur, Maguelonne Teisseire, Pascal Poncelet. Web Usage Mining: Extraction, Maintenance and Behaviour Trends. IICAI: Indian International Conference on Artificial Intelligence, Dec 2003, Hyderabad, India. pp.14. ⟨lirmm-00269458⟩
  • Pierre-Alain Laur, Maguelonne Teisseire, Pascal Poncelet. AUSMS: An Environment for Frequent Sub-Substructures Extraction in a Semi-Structured Object Collection. DEXA'03: 14th International Conference on Database and Expert Systems Applications, Prague (Czech Republic), pp.38-45. ⟨lirmm-00269471⟩
  • Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire. Web Usage Mining: How to Efficiently Manage New transactions and New Customers. 4th European Conference on Principles of Data Mining and Knowledge Discovery, 2000, Lyon, France. ⟨hal-00008926⟩

Poster communications6 documents

  • Erick Cuenca, Arnaud Sallaberry, Dino Ienco, Pascal Poncelet. Visual Querying and Exploring of Large Multilayer Graphs. VIS, Oct 2018, Berlin, Germany. IEEE, Conference on Scientific Visualization, Information Visualization and Visual Analytics, 2018, ⟨http://ieeevis.org/year/2018/welcome⟩. ⟨lirmm-01912384⟩
  • Erick Cuenca, Arnaud Sallaberry, Florence Wang, Pascal Poncelet. Visualizing Hierarchical Time Series with a Focus+Context Approach. INFOVIS@VIS, Oct 2017, Phoenix, United States. Conference on Scientific Visualization, Information Visualization and Visual Analytics, 2017, ⟨http://ieeevis.org/year/2017/welcome⟩. ⟨lirmm-01592614⟩
  • Julien Rabatel, Jérôme Azé, Pascal Poncelet, Mathieu Roche. RegExpMiner: Automatically discovering frequently matching regular expressions. ECML&PKDD, Sep 2014, Nancy, France. European Conference on Machine Learning (ECML) and Principles and Practice of Knowledge Discovery in Databases (PKDD), CEUR Workshop Proceedings (1202), pp.143-144, 2014, ⟨http://ecmlpkdd2014.loria.fr⟩. ⟨lirmm-01054922⟩
  • Amine Abdaoui, Jérôme Azé, Sandra Bringay, Natalia Grabar, Pascal Poncelet. Analysis of Forum Posts Written by Patients and Health Professionals. MIE: Medical Informatics Europe, Aug 2014, Istanbul, Turkey. 25th European Medical Informatics Conference, pp.1185-1185, 2014. ⟨lirmm-01130727⟩
  • Amal Zine El Aabidine, Arnaud Sallaberry, Sandra Bringay, Mickaël Fabrègue, Charles-Henri Lecellier, et al.. Co2Vis: A Visual Analytics Tool for Mining Co-Expressed and Co-Regulated Genes Implied in HIV Infections. BioVis: Biological Data Visualization, 2013, Atlanta, United States. 2013. ⟨lirmm-01275395⟩
  • Didier Breton, Mathieu Roche, Pascal Poncelet, François Marques. Cartographie de dépêches pour analyser le développement d'épidémies. IC: Ingénierie des Connaissances, Jun 2010, Nîmes, France. 21èmes Journées francophones d'Ingénierie des Connaissances, 2010. ⟨lirmm-00588601⟩

Books4 documents

  • Pascal Poncelet, Ali Khenchaf. 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. ⟨lirmm-00798284⟩
  • Mathieu Roche, Pascal Poncelet. Fouille de données d'opinions. Mathieu Roche and Pascal Poncelet. Revue des Nouvelles Technologies de l'Information, E-17, pp.192, 2009. ⟨lirmm-00588609⟩
  • Pascal Poncelet, Florent Masseglia, Maguelonne Teisseire. Data Mining Patterns: New Methods and Applications. IDEA Group, pp.307, 2007, 13 978-1599041629. ⟨lirmm-00365419⟩
  • Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire. Successes and New Directions in Data Mining. IDEA Group, pp.1-369, 2007, 13 978-1599046457. ⟨lirmm-00365422⟩

Book sections12 documents

  • Vijay Ingalalli, Dino Ienco, Pascal Poncelet. Querying RDF Data: A Multigraph Based Approach. Olivier 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⟩. ⟨lirmm-01910660⟩
  • Julien Rabatel, Sandra Bringay, Pascal Poncelet. Mining Sequential Patterns: a Context-Aware Approach. Springer. Advances in Knowledge Discovery and Management, 3, pp.23-41, 2013. ⟨lirmm-00732659⟩
  • Flavien Bouillot, Phan Nhat Hai, Nicolas Béchet, Sandra Bringay, Dino Ienco, et al.. How to Extract Relevant Knowledge from Tweets?. Communications in Computer and Information Science, 2013. ⟨lirmm-00798662⟩
  • Didier Breton, Sandra Bringay, François Marques, Pascal Poncelet, Mathieu Roche. Mining Web Data for Epidemiological Surveillance. Emerging Trends in Knowledge Discovery and Data Mining, LNCS (7769), Springer, pp.11-21, 2013, ⟨10.1007/978-3-642-36778-6_2⟩. ⟨lirmm-00798274⟩
  • Hassan Saneifar, Stéphane Bonniol, Anne Laurent, Pascal Poncelet, Mathieu Roche. How to Rank Terminology Extracted by Exterlog. Knowledge Discovery, Knowlege Engineering and Knowledge Management, 128, Springer-Verlag, pp.121-132, 2011, Communications in Computer and Information Science (CCIS). ⟨lirmm-00723580⟩
  • Vishal Kapoor, Pascal Poncelet, François Trousset, Maguelonne Teisseire. From Collaborative to Privacy Preserving Sequential Pattern Mining. Privacy and Anonymity in Information Management Systems, pp.135-156, 2010, 978-1-84996-237-7. ⟨10.1007/978-1-84996-238-4_7⟩. ⟨lirmm-00798706⟩
  • Goverdhan Singh, Florent Masseglia, Céline Fiot, Alice Marascu, Pascal Poncelet. Mining Common Outliers for Intrusion Detection. Fabrice 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⟩. ⟨lirmm-00798705⟩
  • Verma Nischal, François Trousset, Pascal Poncelet, Florent Masseglia. Intrusion Detections in Collaborative Organizations by Preserving Privacy. Fabrice 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⟩. ⟨lirmm-00430642⟩
  • Haoyuan Li, Anne Laurent, Pascal Poncelet. Mining Unexpected Sequential Patterns and Implication Rules. Yun 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. ⟨lirmm-00344758⟩
  • Lionel Venceslas, Jean-Émile Symphor, Alban Mancheron, Pascal Poncelet. SPAMS : A Novel Incremental Approach for Sequential Pattern Mining in Data Streams. Springer Verlag. Advances in Knowledge Discovery and Management, pp.201-216, 2009. ⟨lirmm-00435841⟩
  • Anne Laurent, Pascal Poncelet, Maguelonne Teisseire. Fuzzy Data Mining for the Semantic Web: Building XML Mediator Schemas. Fuzzy Logic and the Semantic Web, Elsevier, 19 p., 2006. ⟨lirmm-00102627⟩
  • Florent Masseglia, Maguelonne Teisseire, Pascal Poncelet. Sequential Pattern Mining. John Wang. Encyclopedia of Data Warehousing and Mining, Idea Group Reference, pp.1028-1032, 2005, 1-59140-557-2. ⟨lirmm-00106576⟩

Patents1 document

  • Renaud Cezar, Dino Ienco, André Mas, Florent Masseglia, Pascal Poncelet, et al.. Process for identifying rare events. United States, Patent n° : US 20150363551 A1, WO 2014118343 A2, PCT/EP2014/051963. 2014. ⟨lirmm-00913008⟩

Other publications2 documents

  • Flavien Bouillot, Olivier Gout, Pascal Magnier, Clément Pénin, Pascal Poncelet, et al.. Vers un outil de cartographie : qui est l'expert ?. 2013. ⟨lirmm-00798073⟩
  • Mickaël Fabrègue, Agnès Braud, Sandra Bringay, Florence Le Ber, Charles-Henri Lecellier, et al.. OrderGeneMiner : Logiciel pour l'extraction et la visualisation de motifs partiellement ordonnés à partir de puces à ADN. 2013. ⟨lirmm-00802709⟩

Reports8 documents

  • Samiha Fadloun, Pascal Poncelet, Julien Rabatel, Mathieu Roche, Arnaud Sallaberry. Node Overlap Removal for 1D Graph Layout: Proof of Theorem 1. [Research Report] LIRMM (UM, CNRS). 2017. ⟨lirmm-01521385v2⟩
  • Enikö Székely, Pascal Poncelet, Florent Masseglia, Maguelonne Teisseire, Renaud Cezar. Isolating rare events in large-scale applications using a backward approach. [Research Report] RR-13003, LIRMM. 2013. ⟨lirmm-00798074⟩
  • Flavien Bouillot, Dino Ienco, Stan Matwin, Pascal Poncelet, Mathieu Roche. Presidential Election 2012: How French politicians tweet?. RR-12011, 2012. ⟨lirmm-00688651⟩
  • Hassan Saneifar, Stéphane Bonniol, Anne Laurent, Pascal Poncelet, Mathieu Roche. Terminology Extraction from Log Files. RR-09010, 2009, pp.16. ⟨lirmm-00383046⟩
  • Julien Rabatel, Sandra Bringay, Pascal Poncelet. Aide à la décision pour la maintenance ferroviaire préventive. RR-09029, 2009, pp.12. ⟨lirmm-00437731⟩
  • Chedy Raïssi, Pascal Poncelet. Deducing Bounds on the Support of Sequential Patterns. RR-08015, 2008. ⟨lirmm-00289232⟩
  • Haoyuan Li, Anne Laurent, Pascal Poncelet. Mining Unexpected Sequential Patterns and Rules. RR-07027, 2007, pp.14. ⟨lirmm-00193679⟩
  • Pierre-Alain Laur, Pascal Poncelet. AUSMS : Un Environnement pour l'Extraction de Sous-Structures Fréquentes dans une Collection d'Objets Semi-Structurés. 02193, 2002, pp.13. ⟨lirmm-00090371⟩