A Probabilistic Validation Algorithm for Web Users’ Clusters

TitleA Probabilistic Validation Algorithm for Web Users’ Clusters
Publication TypeConference Paper
Year of Publication2004

– Cluster analysis is one of the most importantaspects in the data mining process for discovering groupsand identifying interesting distributions or patterns overthe considered data sets. In the context of Web datamining, model-based clustering algorithms are often usedto cluster similar users’ sessions in order to determineWebsite access behaviors. An important issue in clusteranalysis is the evaluation of clustering results to find thepartitioning that best fits the underlying data. In thispaper, we present a novel validation technique for modelbasedclustering approaches.


auth logo

Location & Contact

Department of Informatics
Aristotle University of Thessaloniki
Thessaloniki GR-54124

t  | (+30) 2310 998415
e | oswinds@csd.auth.gr