39 citations · 57 across the 6 of their papers we have counts for
7 papers
Clustering Dynamic Web Usage Data
Alzennyr Da Silva, Yves Lechevallier, Fabrice Rossi +1
Most classification methods are based on the assumption that data conforms to a stationary distribution. The machine learning domain currently suffers from a lack of classification…
Constrained variable clustering and the best basis problem in functional data analysis
Fabrice Rossi, Yves Lechevallier
Functional data analysis involves data described by regular functions rather than by a finite number of real valued variables. While some robust data analysis methods can be applie…
Exploratory Analysis of Functional Data via Clustering and Optimal Segmentation
Georges Hébrail, Bernard Hugueney, Yves Lechevallier +1
We propose in this paper an exploratory analysis algorithm for functional data. The method partitions a set of functions into clusters and represents each cluster by a simple p…
A Flexible Structured-based Representation for XML Document Mining
Anne-Marie Vercoustre, Mounir Fegas, Saba Gul +1
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…
Benefits of InterSite Pre-Processing and Clustering Methods in E-Commerce Domain
Sergiu Theodor Chelcea, Alzennyr Da Silva, Yves Lechevallier +2
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…
Expériences de classification d'une collection de documents XML de structure homogène
Thierry Despeyroux, Yves Lechevallier, Brigitte Trousse +1
This paper presents some experiments in clustering homogeneous XMLdocuments to validate an existing classification or more generally anorganisational structure. Our approach integr…