An Effective Model to Support Uncertain Skyline Cubes

Skyline cube is the crucial mechanism in multidimensional skyline queries and preference analysis, and has attracted much attention recently in knowledge management community. This is mainly due to the importance of skyline cube in many applications, such as data mining and visualization, user-preference queries, and multi-criteria decision making. In this paper, we propose a novel multidimensional model which can efficiently support uncertainity both in dimensions and hierar-chies. Specially, the uncertain operations can fully depict the characteristics of uncertain skyline cubes.