In this paper, we introduce a probabilistic relational data model as the basis for developing multi-agent probabilistic reasoning systems. Since our model subsumes the traditional...
Decision support systems are important in leveraging information present in data warehouses in businesses like banking, insurance, retail and health-care among many others. The mu...
We introduce pseudo-naive evaluation, a method for execution of mixed top-down/bottom-up logic programs and deductive databases. The method is intermediate in power between naive ...
We introduce a cost model for the M-tree access method [Ciaccia et al., 1997] which provides estimates of CPU (distance computations) and I/O costs for the execution of similarity ...
Abstract. One of the most important data mining tasks is discovery of frequently occurring patterns in sequences of events. Many algorithms for finding various patterns in sequenti...
Abstract. Overlapping Linear Quadtrees is a structure suitable for storing consecutive raster images according to transaction time (a database of evolving images). This structure s...
Theodoros Tzouramanis, Michael Vassilakopoulos, Ya...
In data mining, the selection of an appropriate classifier to estimate the value of an unknown attribute for a new instance has an essential impact to the quality of the classifica...
In this paper we propose and analyze a new spatial access method, namely the S∗ -tree, for the efficient secondary memory encoding and manipulation of images containing multiple ...