Application of the 2-3 Agglomerative Hierarchical Classification on Web Usage Data.

Sergiu Theodor Chelcea (1) , Brigitte Trousse (1)

1 AxIS - Usage-centered design, analysis and improvement of information systems

In this paper we present a clustering of INRIA Web sites visited topics, using an hierarchical method, the 2-3 Hierarchical Ascending Classification proposed by Patrice Bertrand in 2002. The obtained clusters are then analysed for their relevance.

Mots clés: clustering; Web usage data; classification; data mining; 2-3 hierarchies

Domaines: Base de données [cs.DB]; Recherche d'information [cs.IR]; Apprentissage [cs.LG]

Sergiu Theodor Chelcea, Brigitte Trousse. Application of the 2-3 Agglomerative Hierarchical Classification on Web Usage Data.. SYNASC 2004, 6th International Workshop on Symbolic and Numeric Algorithms for Scientific Computing,, Sep 2004, Timisoara, Romania. ⟨inria-00000289⟩