A probabilistic validation algorithm for Web users’ clusters (2004)
| Venue: | In Proceedings of the IEEE international conference on systems, man and cybernetics (SMC |
| Citations: | 3 - 1 self |
BibTeX
@INPROCEEDINGS{Pallis04aprobabilistic,
author = {George Pallis and Lefteris Angelis and Athena Vakali},
title = {A probabilistic validation algorithm for Web users’ clusters},
booktitle = {In Proceedings of the IEEE international conference on systems, man and cybernetics (SMC},
year = {2004},
pages = {4129--4134},
publisher = {IEEE}
}
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Abstract
Abstract – Cluster analysis is one of the most important aspects in the data mining process for discovering groups and identifying interesting distributions or patterns over the considered data sets. In the context of Web data mining, model-based clustering algorithms are often used to cluster similar users ’ sessions in order to determine Website access behaviors. An important issue in cluster analysis is the evaluation of clustering results to find the partitioning that best fits the underlying data. In this paper, we present a novel validation technique for modelbased clustering approaches.
