Modern database applications show a growing demand for efficient and dynamic management of intervals, particularly for temporal and spatial data or for constraint handling. Common...
The need of using spatial vector data for web-based and mobile applications has been increasing rapidly. Vector spatial data is difficult to generalise (that is, to derive a suita...
Spatial and temporal data are critical components in many applications. This is especially true in analytical domains such as national security and criminal investigation. Often, t...
Matthew Perry, Amit P. Sheth, Farshad Hakimpour, P...
Learning Bayesian networks from data has been studied extensively in the evolutionary algorithm communities [Larranaga96, Wong99]. We have previously explored extending some of the...
In this paper, we extend Moss and Parikh’s approach to reasoning about topological properties of knowledge. We turn that system in a spatio-temporal direction by successively ad...