This work explores the application of clustering methods for grouping structurally similar XML documents. Modeling the XML documents as rooted ordered labeled trees, we apply clust...
Theodore Dalamagas, Tao Cheng, Klaas-Jan Winkel, T...
In the past few years, the fast proliferation of available XML documents has stimulated a great deal of interest in discovering hidden and nontrivial knowledge from XML repositori...
Ling Chen 0002, Sourav S. Bhowmick, Liang-Tien Chi...
In this paper we propose a unified clustering algorithm for both homogeneous and heterogeneous XML documents. Depending on the type of the XML documents, the proposed algorithm mo...
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 allo...
Anne-Marie Vercoustre, Mounir Fegas, Saba Gul, Yve...
— The number of XML documents produced and available on the Internet is steadily increasing. It is thus important to devise automatic procedures to extract useful information fro...
Francesca Trentini, Markus Hagenbuchner, Alessandr...