Iglesias Martínez, José AntonioLedezma Espino, Agapito IsmaelSanchis de Miguel, María Araceli2011-05-242011-05-242010International Symposium on Evolving Intelligent Systems (EIS'10) in the 36th Annual Convention of the Society for the Study of Artificial Intelligence and Simulation of Behavior, AISB'10, pp.1-4.https://hdl.handle.net/10016/11243Proceeding of: International Symposium on Evolving Intelligent Systems (EIS'10) in the 36th Annual Convention of the Society for the Study of Artificial Intelligence and Simulation of Behavior, AISB'10. Leicester, United Kingdom, 29th March - 1st April, 2010.The idea of clustering computer users is very beneficial for making recommendations to a user based on the histories of other users with similar preferences, detecting changes in the behavior of a user, and so on. However, computer users have different needs as they learn to use a software system or their goals changes. Although there are several approaches for clustering users, most of them do not consider the changes in their behavior. In this paper, we present an approach for clustering automatically the behavior profile of a computer user and an evolving method based on Evolving Systems to keep up to date the created profile clusters.text/plainapplication/pdfengconference proceedingsInformáticaopen access