Classification divisive sous contraintes. Application au bassin de la Charente (2009)
Chavent, Marie, Lechevallier, Yves, Petit, Kevin, Vernier, Françoise
DIVCLUS-T is a descendant hierarchical clustering algorithm based on a monothetic bipartitional approach allowing the dendrogram of the hierarchy to be read as a decision tree. We propose in this...
Classification divisive sous contraintes. Application au bassin de la Charente (2009)
Chavent, Marie, Lechevallier, Yves, Petit, Kevin, Vernier, Françoise
DIVCLUS-T is a descendant hierarchical clustering algorithm based on a monothetic bipartitional approach allowing the dendrogram of the hierarchy to be read as a decision tree. We propose in this...
Building Symbolic Objects from Data Streams (2008)
Georges Hébrail, Yves Lechevallier
Abstract. With the increase of computer use in all sectors of activity, more and more data are available as streams of structured records so that it is not possible to store all data before analyzing...
Dynamic clustering of histograms using Wasserstein (2008)
Antonio Irpino, Rosanna Verde, Yves Lechevallier
In the present paper we present a new distance, based on the Wasserstein metric, in order to cluster a set of data described by distributions with finite continue support. The proposed distance...
Monothetic divisive clustering with geographical constraints (2008)
Chavent, Marie, Lechevallier, Yves, Vernier, Francoise, Petit, Kevin
DIVCLUS-T is a descendant hierarchical clustering algorithm based on a monothetic bipartitional approach allowing the dendrogram of the hierarchy to be read as a decision tree. We propose in this...
Monothetic divisive clustering with geographical constraints (2008)
Chavent, Marie, Lechevallier, Yves, Vernier, Francoise, Petit, Kevin
DIVCLUS-T is a descendant hierarchical clustering algorithm based on a monothetic bipartitional approach allowing the dendrogram of the hierarchy to be read as a decision tree. We propose in this...
Golli, Aïcha El, Rossi, Fabrice, Conan-Guez, Brieuc, Lechevallier, Yves
Many data analysis methods cannot be applied to data that are not represented by a fixed number of real values, whereas most of real world observations are not readily available in such a format....
DIVCLUS-T: a monothetic divisive hierarchical clustering method (2007)
Chavent, Marie, Lechevallier, Yves, Briant, Olivier
DIVCLUS-T is a divisive hierarchical clustering algorithm based on a monothetic bipartitional approach allowing the dendrogram of the hierarchy to be read as a decision tree. It is designed for...
DIVCLUS-T: a monothetic divisive hierarchical clustering method (2007)
Chavent, Marie, Lechevallier, Yves, Briant, Olivier
DIVCLUS-T is a divisive hierarchical clustering algorithm based on a monothetic bipartitional approach allowing the dendrogram of the hierarchy to be read as a decision tree. It is designed for...
A Flexible Structured-based Representation for XML Document Mining (2006)
Vercoustre, Anne-Marie, Fegas, Mounir, Gul, Saba, Lechevallier, Yves
This paper reports on the INRIA group's approach to XML mining while participating in the INEX XML Mining track 2005. We use a flexible representation of XML documents that allows taking into account...
Vercoustre, Anne-Marie, Fegas, Mounir, Lechevallier, Yves, Despeyroux, Thierry
In this work, we propose a new clustering document representation for semi-structured documents collections. Our approach consists on a representation of XML documents based on their sub-paths,...
A Flexible Structured-based Representation for XML Document Mining (2006)
Vercoustre, Anne-Marie, Fegas, Mounir, Gul, Saba, Lechevallier, Yves
This paper reports on the INRIA group's approach to XML mining while participating in the INEX XML Mining track 2005. We use a flexible representation of XML documents that allows taking into account...
A Flexible Structured-based Representation for XML Document Mining (2006)
Vercoustre, Anne-Marie, Fegas, Mounir, Gul, Saba, Lechevallier, Yves
This paper reports on the INRIA group's approach to XML mining while participating in the INEX XML Mining track 2005. We use a flexible representation of XML documents that allows taking into account...
A Flexible Structured-based Representation for XML Document Mining (2006)
Vercoustre, Anne-Marie, Fegas, Mounir, Gul, Saba, Lechevallier, Yves
This paper reports on the INRIA group's approach to XML mining while participating in the INEX XML Mining track 2005. We use a flexible representation of XML documents that allows taking into account...
Vercoustre, Anne-Marie, Fegas, Mounir, Lechevallier, Yves, Despeyroux, Thierry
In this work, we propose a new clustering document representation for semi-structured documents collections. Our approach consists on a representation of XML documents based on their sub-paths,...
El Golli, Aïcha, Rossi, Fabrice, Conan-Guez, Brieuc, Lechevallier, Yves
Many data analysis methods cannot be applied to data that are not represented by a fixed number of real values, whereas most of real world observations are not readily available in such a format....
El Golli, Aïcha, Rossi, Fabrice, Conan-Guez, Brieuc, Lechevallier, Yves
Many data analysis methods cannot be applied to data that are not represented by a fixed number of real values, whereas most of real world observations are not readily available in such a format....
Adaptative Hausdorff Distances and Dynamic Clustering of Symbolic Interval Data (2006)
De Carvalho, Francisco, De Souza, Renata, Chavent, Marie, Lechevallier, Yves
This paper presents a partitional dynamic clustering method for interval data based on adaptive Hausdorff distances. Dynamic clustering algorithms are iterative two-step relocation algorithms...
New Clustering methods for interval data (2006)
Chavent, Marie, Lechevallier, Yves, Verde, Rosanna
In this paper we propose two clustering methods for interval data based on the dynamic cluster algorithm. These methods use different homogeneity criteria as well as different kinds of cluster...
Adaptative Hausdorff Distances and Dynamic Clustering of Symbolic Interval Data (2006)
De Carvalho, Francisco, De Souza, Renata, Chavent, Marie, Lechevallier, Yves
This paper presents a partitional dynamic clustering method for interval data based on adaptive Hausdorff distances. Dynamic clustering algorithms are iterative two-step relocation algorithms...
New Clustering methods for interval data (2006)
Chavent, Marie, Lechevallier, Yves, Verde, Rosanna
In this paper we propose two clustering methods for interval data based on the dynamic cluster algorithm. These methods use different homogeneity criteria as well as different kinds of cluster...
Chavent, Marie, Lechevallier, Yves
DIVCLUS-T is a descendant hierarchical clustering methods based on the same monothetic approach than segmentation but from an unsupervised point of view. The dendrogram of the hierarchy is easy to...
Chavent, Marie, Lechevallier, Yves
DIVCLUS-T is a descendant hierarchical clustering methods based on the same monothetic approach than segmentation but from an unsupervised point of view. The dendrogram of the hierarchy is easy to...
Benefits of InterSite Pre-Processing and Clustering Methods in E-Commerce Domain (2005)
Chelcea, Sergiu Theodor, Da Silva, Alzennyr, Lechevallier, Yves, Tanasa, Doru, Trousse, Brigitte
This paper presents our preprocessing and clustering analysis on the clickstream dataset proposed for the ECMLPKDD 2005 Discovery Challenge. The main contributions of this article are double. First,...
Pre-Processing and Clustering Complex Data in E-Commerce Domain (2005)
Chelcea, Sergiu, Da Silva, Alzennyr, Lechevallier, Yves, Tanasa, Doru, Trousse, Brigitte
This paper presents our preprocessing and clustering method on a clickstream dataset issued from e-commerce domain. The main contributions of this article are double. First, after presenting the...
Vercoustre, Anne-Marie, Fegas, Mounir, Lechevallier, Yves, Despeyroux, Thierry
In this work, we propose a new clustering document representation for semi-structured documents collections. Our approach consists on a representation of XML documents based on their sub-paths,...
A Flexible Structured-based Representation for XML Document Mining (2005)
Vercoustre, Anne-Marie, Fegas, Mounir, Gul, Saba, Lechevallier, Yves
This paper reports on the INRIA group's approach to XML mining while participating in the INEX XML Mining track 2005. We use a flexible representation of XML documents that allows taking into account...
A Flexible Structured-based Representation for XML Document Mining (2005)
Vercoustre, Anne-Marie, Fegas, Mounir, Gul, Saba, Lechevallier, Yves
This paper reports on the INRIA group's approach to XML mining while participating in the INEX XML Mining track 2005. We use a flexible representation of XML documents that allows taking into account...
Benefits of InterSite Pre-Processing and Clustering Methods in E-Commerce Domain (2005)
Chelcea, Sergiu, Da Silva, Alzennyr, Lechevallier, Yves, Tanasa, Doru, Trousse, Brigitte
This paper presents our preprocessing and clustering analysis on the clickstream dataset proposed for the ECMLPKDD 2005 Discovery Challenge. The main contributions of this article are double. First,...
Exp\'{e}riences de classification d'une collection de documents XML de structure homog\`{e}ne (2005)
Despeyroux, Thierry, Lechevallier, Yves, Trousse, Brigitte, Vercoustre, Anne-Marie
This paper presents some experiments in clustering homogeneous XMLdocuments to validate an existing classification or more generally anorganisational structure. Our approach integrates techniques for...
Experiments in Clustering Homogeneous XML Documents to Validate an Existing Typology (2005)
Despeyroux, Thierry, Lechevallier, Yves, Trousse, Brigitte, Vercoustre, Anne-Marie
This paper presents some experiments in clustering homogeneous XMLdocuments to validate an existing classification or more generally anorganisational structure. Our approach integrates techniques for...
Experiments in Clustering Homogeneous XML Documents to Validate an Existing Typology (2005)
Despeyroux, Thierry, Lechevallier, Yves, Trousse, Brigitte, Vercoustre, Anne-Marie
This paper presents some experiments in clustering homogeneous XMLdocuments to validate an existing classification or more generally anorganisational structure. Our approach integrates techniques for...
Expériences de classification d'une collection de documents XML de structure homogène (2005)
Despeyroux, Thierry, Lechevallier, Yves, Trousse, Brigitte, Vercoustre, Anne-Marie
This paper presents some experiments in clustering homogeneous XMLdocuments to validate an existing classification or more generally anorganisational structure. Our approach integrates techniques for...
Benefits of InterSite Pre-Processing and Clustering Methods in E-Commerce Domain (2005)
Chelcea, Sergiu, Da Silva, Alzennyr, Lechevallier, Yves, Tanasa, Doru, Trousse, Brigitte
This paper presents our preprocessing and clustering analysis on the clickstream dataset proposed for the ECMLPKDD 2005 Discovery Challenge. The main contributions of this article are double. First,...
Pre-Processing and Clustering Complex Data in E-Commerce Domain (2005)
Chelcea, Sergiu, Da Silva, Alzennyr, Lechevallier, Yves, Tanasa, Doru, Trousse, Brigitte
This paper presents our preprocessing and clustering method on a clickstream dataset issued from e-commerce domain. The main contributions of this article are double. First, after presenting the...
Experiments in Clustering Homogeneous XML Documents to Validate an Existing Typology (2005)
Despeyroux, Thierry, Lechevallier, Yves, Trousse, Brigitte, Vercoustre, Anne-Marie
This paper presents some experiments in clustering homogeneous XMLdocuments to validate an existing classification or more generally anorganisational structure. Our approach integrates techniques for...
Expériences de classification d'une collection de documents XML de structure homogène (2005)
Despeyroux, Thierry, Lechevallier, Yves, Trousse, Brigitte, Vercoustre, Anne-Marie
This paper presents some experiments in clustering homogeneous XMLdocuments to validate an existing classification or more generally anorganisational structure. Our approach integrates techniques for...
Pre-Processing and Clustering Complex Data in E-Commerce Domain (2005)
Chelcea, Sergiu, Da Silva, Alzennyr, Lechevallier, Yves, Tanasa, Doru, Trousse, Brigitte
This paper presents our preprocessing and clustering method on a clickstream dataset issued from e-commerce domain. The main contributions of this article are double. First, after presenting the...
Benefits of InterSite Pre-Processing and Clustering Methods in E-Commerce Domain (2005)
Chelcea, Sergiu, Da Silva, Alzennyr, Lechevallier, Yves, Tanasa, Doru, Trousse, Brigitte
This paper presents our preprocessing and clustering analysis on the clickstream dataset proposed for the ECMLPKDD 2005 Discovery Challenge. The main contributions of this article are double. First,...
Experiments in Clustering Homogeneous XML Documents to Validate an Existing Typology (2005)
Despeyroux, Thierry, Lechevallier, Yves, Trousse, Brigitte, Vercoustre, Anne-Marie
This paper presents some experiments in clustering homogeneous XMLdocuments to validate an existing classification or more generally anorganisational structure. Our approach integrates techniques for...
Expériences de classification d'une collection de documents XML de structure homogène (2005)
Despeyroux, Thierry, Lechevallier, Yves, Trousse, Brigitte, Vercoustre, Anne-Marie
This paper presents some experiments in clustering homogeneous XMLdocuments to validate an existing classification or more generally anorganisational structure. Our approach integrates techniques for...
Experiments in Clustering Homogeneous XML Documents to Validate an Existing Typology (2005)
Thierry Despeyroux, Yves Lechevallier, Brigitte Trousse, Anne-marie Vercoustre
Abstract: This paper presents some experiments in clustering homogeneous XML documents to validate an existing classification or more generally an organisational structure. Our approach integrates...
Usage guided clustering of web pages with the median self organizing map (2005)
Fabrice Rossi, Aïcha El Golli, Yves Lechevallier
Abstract. Web Usage Mining aims at improving Web sites thanks to the analysis of the behavior of their users. This paper proposes to cluster...
Benefits of InterSite PreProcessing and Clustering Methods in E-Commerce Domain (2005)
Sergiu Chelcea, Alzennyr Da Silva, Yves Lechevallier, Doru Tanasa, Brigitte Trousse
Abstract. This paper presents our preprocessing and clustering analysis on the clickstream dataset proposed for the ECML\PKDD 2005 Discovery Challenge. The main contributions of this article are...
Using data analysis to approximate fastest paths on urban networks (2003)
Awasthi, Anjali, Lechevallier, Yves, Parent, Michel, Proth, Jean-Marie
Estimating shortest paths on large networks is a crucial problem for dynamic route guidance systems. The present paper proposes a statistical approach for approximating fastest paths on urban...
Using data analysis to approximate fastest paths on urban networks (2003)
Awasthi, Anjali, Lechevallier, Yves, Parent, Michel, Proth, Jean-Marie
Estimating shortest paths on large networks is a crucial problem for dynamic route guidance systems. The present paper proposes a statistical approach for approximating fastest paths on urban...
Using data analysis to approximate fastest paths on urban networks (2003)
Awasthi, Anjali, Lechevallier, Yves, Parent, Michel, Proth, Jean-Marie
Estimating shortest paths on large networks is a crucial problem for dynamic route guidance systems. The present paper proposes a statistical approach for approximating fastest paths on urban...
Automatic Clustering for the Web Usage Mining (2003)
Mireille Arnoux, Yves Lechevallier, Doru Tanasa, Brigitte Trousse, Rosanna Verde
Abstract. In this paper we present an approach based on two hybrid clustering methods for Web Usage Mining (WUM). The WUM process contains three steps: pre-processing, data mining and result...
Parlay APIs 3.0, “Policy Management Specification - version 1.0 (2003)
Rosanna Verde, Yves Lechevallier
Abstract. In this paper we propose a crossed clustering algorithm in order to partition a set of symbolic objects in a predefined number of classes and to determine, in the same time, a structure...
Recherche d'une partition optimale sous contrainte d'ordre total (1990)
Un des problemes de la classification automatique est de trouver une partition qui soit optimale pour un critere donne. Dans le cas ou les objets sont definis par une seule variable numerique la...
Recherche d'une partition optimale sous contrainte d'ordre total (1990)
Un des problemes de la classification automatique est de trouver une partition qui soit optimale pour un critere donne. Dans le cas ou les objets sont definis par une seule variable numerique la...
Le systeme SICLA: Principes et architecture (1986)
Lechevallier, Yves, Ralambondrainy, H., Govaert, G.
Résumé disponible dans les fichiers attachés
Le systeme SICLA: Principes et architecture (1986)
Lechevallier, Yves, Ralambondrainy, H., Govaert, G.
Résumé disponible dans les fichiers attachés
Méthodes de discrimination non paramétrique asymptotiquement efficaces au sens de Bayes (1980)
Celeux, Gilles, Lechevallier, Yves
Résumé disponible dans les fichiers attachés
Méthodes de discrimination non paramétrique asymptotiquement efficaces au sens de Bayes (1980)
Celeux, Gilles, Lechevallier, Yves
Résumé disponible dans les fichiers attachés
New clustering methods for interval data
Marie Chavent, Francisco Carvalho, Yves Lechevallier, Rosanna Verde
Dynamic clustering, interval data, distances, prototypes,