Nombre de documents


Nicolas DURAND

Article dans une revue5 documents

  • Nicolas Durand, Mohamed Quafafou. Frequent Itemset Border Approximation by Dualization. Transactions on Large-Scale Data- and Knowledge-Centered Systems (TLDKS), 2016, 26, pp.32-60. <hal-01465110>
  • Mustapha Aznag, Mohamed Quafafou, Nicolas Durand, Zahi Jarir. Web Services Discovery and Recommendation Based on Information Extraction and Symbolic Reputation. International Journal on Web Service Computing (IJWSC), 2013, 4 (1), pp.1-18. <hal-01465115>
  • Anis Ismail, Mohamed Quafafou, Nicolas Durand, Gilles Nachouki, Mohammad Hajjar. An Efficient Architecture for Information Retrieval in P2P Context Using Hypergraphs. International Journal of Computer Networks and Communications (IJCNC), 2011, 3 (4), pp.166-186. <hal-01465122>
  • Anis Ismail, Quafafou Mohamed, Nicolas Durand, Gilles Nachouki, Mohamed Hajjar. Queries Mining For Efficient Routing in P2P Communities. International journal of Database (Weston, Conn.) Management Systems, 2010, 2 (1), pp.9-28. <hal-00482514>
  • Luigi Lancieri, Nicolas Durand. Internet User Behavior: Compared Study of the Access Traces and Application to the Discovery of Communities. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, Institute of Electrical and Electronics Engineers, 2006, 36, pp.208-219. <hal-00256097>

Communication dans un congrès25 documents

  • Hafida Naim, Mustapha Aznag, Nicolas Durand, Mohamed Quafafou. Semantic Pattern Mining Based Web Service Recommendation. IEEE 14th International Conference on Service Oriented Computing (ICSOC 2016), 2016, Banff, Alberta, Canada. pp.417-432, 2016. <hal-01465113>
  • Hafida Naim, Mustapha Aznag, Mohamed Quafafou, Nicolas Durand. Semantic Divergence based Evaluation of Web Service Communities. IEEE 13th IEEE International Conference on Services Computing (SCC 2016), 2016, San Francisco, CA, USA, Unknown or Invalid Region. pp.736-743, 2016. <hal-01465111>
  • Hafida Naim, Mustapha Aznag, Mohamed Quafafou, Nicolas Durand. Probabilistic Approach for Diversifying Web Services Discovery and Composition. IEEE 23rd IEEE International Conference on Web Services (ICWS 2016), 2016, San Francisco, CA, USA, Unknown or Invalid Region. pp.73-80, 2016. <hal-01465112>
  • Nicolas Durand, Mohamed Quafafou. Approximation of Frequent Itemset Border by Computing Approximate Minimal Hypergraph Transversals. 16th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2014), 2014, Munich, Germany. pp.357-368, 2014, Data Warehousing and Knowledge Discovery. <hal-01465114>
  • Anis Ismail, Mohammad Hajjar, Mohamed Quafafou, Nicolas Durand, Mazen El-Sayed. Clustering using Hypergraph for P2P Query Routing - Simulation and Evaluation. 15th International Conference on Enterprise Information Systems (ICEIS 2013), 2013, Angers, France. pp.247-254, 2013. <hal-01465116>
  • Nicolas Durand, Mohamed Quafafou. Approximation de bordures de motifs fréquents par le calcul de traverses minimales approchées d'hypergraphes. Conférence Francophone sur l'Apprentissage Automatique (CAp 2013), 2013, Lille, France. 2013. <hal-01465117>
  • Mustapha Aznag, Mohamed Quafafou, Nicolas Durand, Zahi Jarir. Représentation de services web : impact sur la découverte et la recommandation. 12ème Conférence Internationale Francophone sur l'Extraction et la Gestion des Connaissances (EGC 2012), 2012, Bordeaux, France. pp.549-550, 2012. <hal-01465120>
  • Mustapha Aznag, Mohamed Quafafou, Nicolas Durand, Zahi Jarir. Découverte et recommandation de services web basées sur l'extraction d'information et la réputation symbolique. Atelier Sources Ouvertes et Services - Données Liées pour un Web de Données (SOS-DLWD'12) de la 12ème Conférence ă Internationale Francophone sur l'Extraction et la Gestion des Connaissances (EGC 2012), 2012, Bordeaux, France. pp.7-17, 2012. <hal-01465119>
  • Mustapha Aznag, Mohamed Quafafou, Nicolas Durand, Zahi Jarir. Multiple Representations of Web Services: Discovery, Clustering and Recommendation. IEEE 9th International Conference on Web Services (ICWS 2011), 2011, Washington DC, USA, Unknown or Invalid Region. pp.748-749, 2011. <hal-01465121>
  • Nicolas Durand, Sébastien Derivaux, Germain Forestier, Cédric Wemmert, Pierre Gancarski, et al.. Ontology-based Object Recognition for Remote Sensing Image Interpretation. IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007, Patras, Greece. pp.472-479, 2007. <hal-01463170>
  • Sébastien Derivaux, Nicolas Durand, Cédric Wemmert. On the Complementarity of an Ontology and a Nearest Neighbour Classifier for Remotely Sensed Image Interpretation. International Geoscience and Remote Sensing Symposium (IGARSS 2007), 2007, Barcelona, Spain. 2007. <hal-01463171>
  • Anne Puissant, Nicolas Durand, David Sheeren, Christiane Weber, Pierre Gancarski. Urban Ontology for Semantic Interpretation of Multi-Source Images. 2nd Workshop Ontologies for urban development: conceptual models for practitioners (Urban Ontologies 2007), 2007, Castello del Valentino, Turin, Italy. 2007. <hal-01463173>
  • R. Brisson, Omar Boussaïd, Pierre Gancarski, Anne Puissant, N. Durand. Navigation et appariement d'objets géographiques dans une ontologie. 7es Journées Francophones "Extraction et gestion des connaissances", Jan 2007, Namur, Belgique. pp.391-396, 2007. <halshs-00626435>
  • Nicolas Durand, Einoshin Suzuki, Bruno Crémilleux. Visualizing Transactional Data with Multiple Clusterings for Knowledge Discovery. 16th International Symposium on Methodologies for Intelligent Systems (ISMIS'06), 2006, Bari, Italy. 4203, 2006. <hal-00324789>
  • Thierry Charnois, Nicolas Durand, Jiri Klema. Automated Information Extraction from Gene Summaries. Proceedings of the ECML/PKDD Workshop on Data and Text Mining for Integrative Biology, 2006, Berlin, Germany. pp.4-15, 2006. <hal-00324729>
  • Arnaud Soulet, Nicolas Durand. Emerging Overlapping Clusters for Characterizing the Stage of Liver Fibrosis. ECML/PKDD'05 Discovery Challenge on Hepatitis Data, co-located with the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'05), 2005, Porto, Portugal. pp.139-150, 2005. <hal-00324792>
  • Luigi Lancieri, Nicolas Durand. Activity Forecast of the Internet Users: Compared Performances of Active and Passive Forecast Strategies. Proceedings of the IASTED International Conference on Artificial Intelligence and Applications (AIA'04), 2004, Innsbruck, Austria. pp.770-775, 2004. <hal-00324707>
  • Nicolas Durand, Guillaume Cleuziou, Arnaud Soulet. Discovery of Overlapping Clusters to detect Atherosclerosis Risk Factors. -, 2004, -, France. 2004. <hal-00084833>
  • Luigi Lancieri, Nicolas Durand. Evaluating the Impact of Users' Profiles Dimension on its Characterization Effectiveness: Method Based on the Evaluation of Users' Communities' Organization Quality. The IEEE International Symposium on Computational Intelligence for Measurement Systems and Applications (CIMSA'03), 2003, Lugano, Switzerland. pp.130-134, 2003. <hal-00324708>
  • Nicolas Durand, Luigi Lancieri, Bruno Crémilleux. Recommendation System Based on the Discovery of Meaningful Categorical Clusters. 7th International Conference on Knowledge-Based Intelligent Information \& Engineering Systems (KES'03), Lecture Notes in Artificial Intelligence, 2003, Oxford, United Kingdom. 2773, pp.857-863, 2003. <hal-00324788>
  • Nicolas Durand, Bruno Crémilleux. Extraction of a Subset of Concepts from the Frequent Closed Itemset Lattice: A New Approach of Meaningful Clusters Discovery. International Workshop on Advances in Formal Concept Analysis for Knowledge Discovery in Databases (FCAKDD'02), co-located with ECAI'02, 2002, Lyon, France. pp.24-25, 2002. <hal-00324790>
  • Bruno Crémilleux, Nicolas Durand. Search for factors estimating the stage of liver fibrosis based on the discovery of meaningful clusters. PKDD 02 Discovery Challenge on Hepatitis Data co-located with the 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'02), 2002, Helsinki, Finland. 2002. <hal-00324767>
  • Nicolas Durand, Bruno Crémilleux. ECCLAT: a New Approach of Clusters Discovery in Categorical Data. 22nd SGAI International Conference on Knowledge Based Systems and Applied Artificial Intelligence (ES'02), BCS Conference Series, 2002, Cambridge, United Kingdom. pp.177-190, 2002. <hal-00324786>
  • Nicolas Durand, Luigi Lancieri. Study of the Regularity of the Users' Internet Accesses. 3rd International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'02), Lecture Notes in Computer Science, 2002, Manchester, United Kingdom. 2412, pp.173-178, 2002. <hal-00324787>
  • Nicolas Durand, Bruno Crémilleux, Michel Henry-Amar. Discovering Associations in Clinical Data: Application to Search for Prognostic Factors in Hodgkin's Disease. Quaglini, S. and Barahona, P. and Andreassen, S. Proceedings of the 8th Conference on Artificial Intelligence in Medecine in Europe (AIME'01), Lecture Notes in Artificial Intelligence, 2001, Cascais, Portugal. 2101, pp.50-54, 2001. <hal-01463174>