Yves Lechevallier - researchr alias

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Viewing Publication 1 - 72 from 72

2019

Discovering communities for web usage mining systemsYacine Slimani, Abdelouaheb Moussaoui, Yves Lechevallier, Ahlem Drif. ijaip, 12(3/4):331-354, 2019. [doi]

2017

Multi-view hard c-means with automated weighting of views and variablesRodrigo C. de Araujo, Francisco de A. T. de Carvalho, Yves Lechevallier. ijcnn 2017: 2792-2799 [doi]

2015

A multi-view relational fuzzy c-medoid vectors clustering algorithmFrancisco de A. T. de Carvalho, Filipe M. de Melo, Yves Lechevallier. ijon, 163:115-123, 2015. [doi]

2014

Compréhension de recettes de cuisine utilisateurs par extraction de connaissances intrinsèquesDamien Leprovost, Thierry Despeyroux, Yves Lechevallier. f-egc 2014: 581-584 [doi]

Classification et prédiction du flux solaireHenri Ralambondrainy, Yves Lechevallier, Jean-Daniel Lan Sun Luk, Jean-Pierre Chabriat. f-egc 2014: 491-496 [doi]

The anti-bouncing data stream model for web usage streams with intralinkingsChongsheng Zhang, Florent Masseglia, Yves Lechevallier. isci, 278:757-772, 2014. [doi]

2013

Clustering Data Streams by On-Line Proximity UpdatingAntonio Balzanella, Yves Lechevallier, Rosanna Verde. In Antonio Giusti, Gunter Ritter, Maurizio Vichi, editors, Classification and Data Mining. Studies in Classification, Data Analysis, and Knowledge Organization, pages 97-104, Springer, 2013. [doi]

Clustering of Solar IrradianceMiloud Bessafi, Francisco de A. T. de Carvalho, Philippe Charton, Mathieu Delsaut, Thierry Despeyroux, Patrick Jeanty, Jean-Daniel Lan Sun Luk, Yves Lechevallier, Henri Ralambondrainy, Lionel Trovalet. ecda 2015: 43-53 [doi]

A Fuzzy C-Medoids Clustering Algorithm Based on Multiple Dissimilarity MatricesFrancisco de A. T. de Carvalho, Filipe M. de Melo, Yves Lechevallier. bracis 2013: 107-112 [doi]

Relational partitioning fuzzy clustering algorithms based on multiple dissimilarity matricesFrancisco de A. T. de Carvalho, Yves Lechevallier, Filipe M. de Melo. fss, 215:1-28, 2013. [doi]

Nonlinear multicriteria clustering based on multiple dissimilarity matricesSérgio R. de M. Queiroz, Francisco de A. T. de Carvalho, Yves Lechevallier. PR, 46(12):3383-3394, 2013. [doi]

DB2SNA: An All-in-One Tool for Extraction and Aggregation of Underlying Social Networks from Relational DatabasesRania Soussi, Etienne Cuvelier, Marie-Aude Aufaure, Amine Louati, Yves Lechevallier. In Tansel Özyer, Jon G. Rokne, Gerhard Wagner, Arno H. P. Reuser, editors, The Influence of Technology on Social Network Analysis and Mining. Volume 6 of Lecture Notes in Social Networks, pages 521-545, Springer, 2013. [doi]

2012

2 Distance and Correspondence AnalysisAntonio Ciampi, Alina Dyachenko, Ana González-Marcos, Yves Lechevallier. cssc, 41(7):1006-1022, 2012. [doi]

Un algorithme de classification automatique pour des données relationnelles multivuesFrancisco de A. T. de Carvalho, Filipe M. de Melo, Yves Lechevallier, Thierry Despeyroux. f-egc 2012: 125-136

Multi-view Clustering on Relational DataFrancisco de A. T. de Carvalho, Yves Lechevallier, Thierry Despeyroux, Filipe M. de Melo. f-egc 2014: 37-51 [doi]

Partitioning hard clustering algorithms based on multiple dissimilarity matricesFrancisco de A. T. de Carvalho, Yves Lechevallier, Filipe M. de Melo. PR, 45(1):447-464, 2012. [doi]

Multicriteria clustering with weighted Tchebycheff distances for relational dataSérgio R. de M. Queiroz, Francisco de A. T. de Carvalho, Yves Lechevallier. ijcnn 2012: 1-6 [doi]

Identification de communautés d'usage du web depuis un graphe issu des fichiers d'accèsYacine Slimani, Abdelouahab Moussaoui, Yves Lechevallier, Ahlem Drif. f-egc 2012: 525-530

2011

2010

WCUM pour l analyse d un site webMalika Charrad, Yves Lechevallier, Mohamed Ben Ahmed, Gilbert Saporta. f-egc 2010: 669-672

Bipartitionnement d'un tableau de contingenceMalika Charrad, Yves Lechevallier, Mohamed Ben Ahmed. aafd 2011: 95-120 [doi]

On the Number of Clusters in Block Clustering AlgorithmsMalika Charrad, Yves Lechevallier, Mohamed Ben Ahmed, Gilbert Saporta. flairs 2010: [doi]

A relational fuzzy c-means clustering algorithm based on multiple dissimilarity matricesFrancisco de A. T. de Carvalho, Filipe M. de Melo, Yves Lechevallier. isda 2010: 43-48 [doi]

Exploratory analysis of functional data via clustering and optimal segmentationGeorges Hébrail, Bernard Hugueney, Yves Lechevallier, Fabrice Rossi. ijon, 73(7-9):1125-1141, 2010. [doi]

List of Supplementary Contributed and Invited Papers Only Available on springerlink.comYves Lechevallier, Gilbert Saporta. compstat 2010: 605-616 [doi]

REGLO : une nouvelle stratÃ©gie pour rÃ©sumer un flux de sÃ©ries temporellesAlice Marascu, Florent Masseglia, Yves Lechevallier. f-egc 2010: 217-228

A fast approximation strategy for summarizing a set of streaming time seriesAlice Marascu, Florent Masseglia, Yves Lechevallier. SAC 2010: 1617-1621 [doi]

Approche pour le suivi de l'évolution des données d'usage du Web: application sur un jeu de données en marketingAlzennyr Da Silva, Yves Lechevallier. modulad, 42:148-156, 2010. [doi]

ABS: The Anti Bouncing Model for Usage Data StreamsChongsheng Zhang, Florent Masseglia, Yves Lechevallier. icdm 2010: 1169-1174 [doi]

2009

Détermination du nombre des classes dans l algorithme CROKI de classification croiséeMalika Charrad, Yves Lechevallier, Gilbert Saporta, Mohamed Ben Ahmed. f-egc 2009: 447-448

Block Clustering for Web Pages CategorizationMalika Charrad, Yves Lechevallier, Mohamed Ben Ahmed, Gilbert Saporta. ideal 2009: 260-267 [doi]

Partitional clustering algorithms for symbolic interval data based on single adaptive distancesFrancisco de A. T. de Carvalho, Yves Lechevallier. PR, 42(7):1223-1236, 2009. [doi]

Dynamic Clustering of Interval-Valued Data Based on Adaptive Quadratic DistancesFrancisco de A. T. de Carvalho, Yves Lechevallier. tsmc, 39(6):1295-1306, 2009. [doi]

Clustering constrained symbolic dataFrancisco de A. T. de Carvalho, Marc Csernel, Yves Lechevallier. prl, 30(11):1037-1045, 2009. [doi]

Towards an Integration of Space and Accessibility in Web PersonalizationMohamed Ramzi Haddad, Hajer Baazaoui Zghal, Marie-Aude Aufaure, Christophe Claramunt, Yves Lechevallier, Henda Hajjami Ben GhÃ©zala. w2gis 2009: 39-55 [doi]

Simultaneous Clustering and Segmentation for Functional DataBernard Hugueney, Georges Hébrail, Yves Lechevallier, Fabrice Rossi. esann 2009: [doi]

Vers la simulation et la détection des changements des données évolutives d usage du WebAlzennyr Da Silva, Yves Lechevallier, Francisco de A. T. de Carvalho. f-egc 2009: 453-454

Clustering Dynamic Web Usage DataAlzennyr Da Silva, Yves Lechevallier, Fabrice Rossi, Francisco de A. T. de Carvalho. In Nadia Nedjah, Luiza de Macedo Mourelle, Janusz Kacprzyk, editors, Innovative Applications in Data Mining. Volume 169 of Studies in Computational Intelligence, pages 71-82, Springer, 2009. [doi]

Comparing Clustering on Symbolic DataAlzennyr Da Silva, Yves Lechevallier, Francisco de A. T. de Carvalho. In Nadia Nedjah, Luiza de Macedo Mourelle, Janusz Kacprzyk, Felipe Maia Galvão França, Alberto Ferreira de Souza, editors, Intelligent Text Categorization and Clustering. Volume 164 of Studies in Computational Intelligence, pages 81-94, Springer, 2009. [doi]

2008

Web Content Data Mining : la classification croisée pour lanalyse textuelle dun site WebMalika Charrad, Yves Lechevallier, Gilbert Saporta, Mohamed Ben Ahmed. f-egc 2008: 43-54

Hierarchical clustering of subpopulations with a dissimilarity based on the likelihood ratio statistic: application to clustering massive data setsAntonio Ciampi, Yves Lechevallier, Manuel Castejón Limas, Ana González-Marcos. paa, 11(2):199-220, 2008. [doi]

Stratégies de classification non supervisée sur fenêtres superposées : application aux données dusage du WebAlzennyr Da Silva, Yves Lechevallier. f-egc 2008: 219-220

2007

2006

Utilisation de métadonnées pour l aide à l interprétation de classes et de partitionsAbdourahamane Baldé, Yves Lechevallier, Brigitte Trousse, Marie-Aude Aufaure. f-egc 2006: 371-376

Empirical Comparison of a Monothetic Divisive Clustering Method with the Ward and the k-means Clustering MethodsMarie Chavent, Yves Lechevallier. In Vladimir Batagelj, Hans-Hermann Bock, Anuska Ferligoj, Ales Ziberna, editors, Data Science and Classification. Studies in Classification, Data Analysis, and Knowledge Organization, pages 83-90, Springer, 2006. [doi]

New clustering methods for interval dataMarie Chavent, Francisco de A. T. de Carvalho, Yves Lechevallier, Rosanna Verde. cstat, 21(2):211-229, 2006. [doi]

Adaptive Hausdorff distances and dynamic clustering of symbolic interval dataFrancisco de A. T. de Carvalho, Renata M. C. R. de Souza, Marie Chavent, Yves Lechevallier. prl, 27(3):167-179, 2006. [doi]

Symbolic Clustering of Large DatasetsYves Lechevallier, Rosanna Verde, Francisco de A. T. de Carvalho. In Vladimir Batagelj, Hans-Hermann Bock, Anuska Ferligoj, Ales Ziberna, editors, Data Science and Classification. Studies in Classification, Data Analysis, and Knowledge Organization, pages 193-201, Springer, 2006. [doi]

Comparaison de dissimilarité pour l analyse de l usage d un site webFabrice Rossi, Francisco de A. T. de Carvalho, Yves Lechevallier, Alzennyr Da Silva. f-egc 2006: 409-414

Dissimilarities for Web Usage MiningFabrice Rossi, Francisco de A. T. de Carvalho, Yves Lechevallier, Alzennyr Da Silva. In Vladimir Batagelj, Hans-Hermann Bock, Anuska Ferligoj, Ales Ziberna, editors, Data Science and Classification. Studies in Classification, Data Analysis, and Knowledge Organization, pages 39-46, Springer, 2006. [doi]

Characterizing visitor groups from web data streamsAlzennyr Da Silva, Francisco de Assis Tenório de Carvalho, Yves Lechevallier, Brigitte Trousse. grc 2006: 389-392 [doi]

Mining Web Usage Data for Discovering Navigation ClustersAlzennyr Da Silva, Yves Lechevallier, Francisco de A. T. de Carvalho, Brigitte Trousse. ISCC 2006: 910-915 [doi]

Classification de documents XML à partir d une représentation linéaire des arbres de ces documentsAnne-Marie Vercoustre, Mounir Fegas, Yves Lechevallier, Thierry Despeyroux. f-egc 2006: 433-444

2005

2000

Clustering Large, Multi-level Data Sets: An Apporach Based on Kohonen Self Organizing MapsAntonio Ciampi, Yves Lechevallier. pkdd 2000: 353-358 [doi]

1998

Twelve Numerical, Symbolic and Hybrid Supervised Classification MethodsOlivier Gascuel, Bernadette Bouchon-Meunier, Gilles Caraux, Patrick Gallinari, Alain Guénoche, Yann Guermeur, Yves Lechevallier, Christophe Marsala, Laurent Miclet, Jacques Nicolas, Richard Nock, Mohammed Ramdani, Michèle Sebag, Basavanneppa Tallur, Gilles Venturini, Patrick Vitte. ijprai, 12(4):517-571, 1998.

1997

Enquête 1996 : Utilisation des logiciels statistiquesDanielle Grangé, Arnaud Bringé, Véronique Stéphan, Dominique Drouet, Yves Lechevallier, Laurence Haeusler, Mónica Bécue. modulad, 21:1-62, 1997. [doi]

1995

Designing Neural Networks from Statistical Models: A New Approach to Data ExplorationAntonio Ciampi, Yves Lechevallier. kdd 1995: 45-50

Réseaux de neurones et modèles statistiquesAntonio Ciampi, Yves Lechevallier. modulad, 15:27-46, 1995. [doi]

1993

Enquête sur l'utilisation des logiciels de statistique -ASU 1992-Mónica Bécue, M. K. Diallo, Danielle Grangé, Laurence Haeusler, Yves Lechevallier, Y. Majjad, M. Ringenbach, V. Pérez, F. Sermier. modulad, 11:45-88, 1993. [doi]

Commentaires sur "Une histoire de discrétisation"Yves Lechevallier. modulad, 11:38, 1993. [doi]

1992

Place de l'analyse discriminante dans le traitement d'enquêtes psycho-socialesF. Facy, Yves Lechevallier. modulad, 9:11-30, 1992. [doi]

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