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Nicolas Durand 0001
Person information
- affiliation: Aix-Marseille Université, France
- affiliation (former): LSIIT (Illkirch/Strasbourg, France)
- affiliation (former): GREYC (Caen, France)
- affiliation (former): France Telecom R&D (Caen, France)
Other persons with the same name
- Nicolas Durand 0002
— ENAC (National School of Civil Aviation), Toulouse, France
- Nicolas Durand 0003
— North Carolina State University, Department of Chemistry, Raleigh, NC, USA (and 1 more)
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2020 – today
- 2021
- [c16]Feda Almuhisen
, Nicolas Durand
, Leonardo Brenner, Mohamed Quafafou:
Sequential Patterns for Spatio-Temporal Traffic Prediction. WI/IAT 2021: 595-602
2010 – 2019
- 2018
- [j3]Feda Almuhisen
, Nicolas Durand
, Mohamed Quafafou
:
Detecting behavior types of moving object trajectories. Int. J. Data Sci. Anal. 5(2-3): 169-187 (2018) - [c15]Feda Almuhisen
, Nicolas Durand
, Mohamed Quafafou:
Sequential Formal Concepts over Time for Trajectory Analysis. WI 2018: 598-603 - 2016
- [j2]Nicolas Durand
, Mohamed Quafafou:
Frequent Itemset Border Approximation by Dualization. Trans. Large Scale Data Knowl. Centered Syst. 26: 32-60 (2016) - [c14]Hafida Naim, Mustapha Aznag, Mohamed Quafafou, Nicolas Durand
:
Semantic Divergence Based Evaluation of Web Service Communities. SCC 2016: 736-743 - [c13]Hafida Naïm, Mustapha Aznag, Nicolas Durand
, Mohamed Quafafou:
Semantic Pattern Mining Based Web Service Recommendation. ICSOC 2016: 417-432 - [c12]Hafida Naim, Mustapha Aznag, Mohamed Quafafou, Nicolas Durand
:
Probabilistic Approach for Diversifying Web Services Discovery and Composition. ICWS 2016: 73-80 - 2014
- [c11]Nicolas Durand
, Mohamed Quafafou:
Approximation of Frequent Itemset Border by Computing Approximate Minimal Hypergraph Transversals. DaWaK 2014: 357-368 - 2013
- [c10]Anis Ismail, Mohammad Hajjar, Mohamed Quafafou, Nicolas Durand
, Mazen El-Sayed:
Clustering using Hypergraph for P2P Query Routing - Simulation and Evaluation. ICEIS (1) 2013: 247-254 - [i3]Mustapha Aznag, Mohamed Quafafou, Nicolas Durand
, Zahi Jarir:
Web Services Discovery and Recommendation Based on Information Extraction and Symbolic Reputation. CoRR abs/1304.3268 (2013) - 2012
- [c9]Mustapha Aznag, Mohamed Quafafou, Nicolas Durand, Zahi Jarir:
Représentations de services web : impact sur la découverte et la recommandation. EGC 2012: 549-550 - 2011
- [c8]Mustapha Aznag, Mohamed Quafafou, Nicolas Durand
, Zahi Jarir
:
Multiple Representations of Web Services: Discovery, Clustering and Recommendation. ICWS 2011: 748-749 - [i2]Anis Ismail, Mohamed Quafafou, Nicolas Durand
, Mohammad Hajjar:
An Efficient Architecture for Information Retrieval in P2P Context Using Hypergraph. CoRR abs/1108.1378 (2011) - [i1]Anis Ismail, Mohamed Quafafou, Nicolas Durand, Gilles Nachouki, Mohammad Hajjar:
Queries mining for efficient routing in P2P communities. CoRR abs/1109.5679 (2011)
2000 – 2009
- 2007
- [c7]Rémy Brisson, Omar Boussaid, Pierre Gançarski, Anne Puissant, Nicolas Durand:
Navigation et appariement d'objets géographiques dans une ontologie. EGC 2007: 391-396 - [c6]Nicolas Durand
, Sébastien Derivaux, Germain Forestier
, Cédric Wemmert, Pierre Gançarski, Omar Boussaid, Anne Puissant
:
Ontology-Based Object Recognition for Remote Sensing Image Interpretation. ICTAI (1) 2007: 472-479 - [c5]Sébastien Derivaux, Nicolas Durand
, Cédric Wemmert:
On the complementarity of an ontology and a nearest neighbour classifier for remotely sensed image interpretation. IGARSS 2007: 3983-3986 - 2006
- [j1]Luigi Lancieri, Nicolas Durand
:
Internet User Behavior: Compared Study of the Access Traces and Application to the Discovery of Communities. IEEE Trans. Syst. Man Cybern. Part A 36(1): 208-219 (2006) - [c4]Nicolas Durand, Bruno Crémilleux, Einoshin Suzuki:
Visualizing Transactional Data with Multiple Clusterings for Knowledge Discovery. ISMIS 2006: 47-57 - 2004
- [b1]Nicolas Durand:
Extraction de clusters à partir du treillis de concepts: application à la découverte de communautés d'intérêt pour améliorer l'accès à l'information. (Extraction of clusters from concept Lattice: Application to the discovery of interest communities in order to improve the access to information). University of Caen Normandy, France, 2004 - 2003
- [c3]Nicolas Durand, Luigi Lancieri
, Bruno Crémilleux:
Recommendation System Based on the Discovery of Meaningful Categorical Clusters. KES 2003: 857-863 - 2002
- [c2]Nicolas Durand, Luigi Lancieri
:
Study of the Regularity of the Users' Internet Accesses. IDEAL 2002: 173-178 - 2001
- [c1]Nicolas Durand, Bruno Crémilleux, M. Henry-Amar:
Discovering Associations in Clinical Data: Application to Search for Prognostic Factors in Hodgkin's Disease. AIME 2001: 50-54
Coauthor Index
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