University of Luxembourg
Data warehousing is an essential element of decision support systems. It aims at enabling the user knowledge to make better and faster daily business decisions. To improve this decision support system and to give more and more relevant information to the user, the need to integrate user's profiles into the data warehouse process becomes crucial. In this paper, the authors propose to exploit users' preferences as a basis for adapting OLAP (On-Line Analytical Processing) queries to the user. For this, they present a user profile-driven data warehouse approach that allows dening user's profile composed by his/her identifier and a set of his/her preferences.