Web Sessions Clustering with Artificial Ants Colonies

In this paper, we apply AntClust, an ant based clustering algorithm, to the Web usage-mining problem. We define a Web session as a weighted multi-modal vector and we propose an adapted similarity measure between two sessions. We show that our algorithm finds non-noisy clusters that simplify the interpretation of the results when it is applied on real Web sessions coded as vectors composed of "hits by page".

• Type: Conference
• Year: 2003
• Where: WWW
• Authors: Gilles Venturini, Nicolas Labroche, Nicolas Monmarché
• Keywords: Adapted Similarity Measure, Internet Technology, Real Web Sessions, Weighted Multi-modal Vector, WWW 2003