Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
Spatial data mining, i.e., discovery of interesting characteristics and patterns that may implicitly exist in spatial databases, is a challenging task due to the huge amounts of s...
Existing datacube precompuatation schemes materialize selected datacube tuples on disk, choosing the most beneficial cuboids (i.e., combinations of dimensions) to materialize giv...
Data mining is an interactive and iterative process. Users issue series of similar queries until they receive satisfying results, yet currently available data mining systems do not...
We present the Priority R-tree, or PR-tree, which is the first R-tree variant that always answers a window query using O((N/B)1-1/d + T/B) I/Os, where N is the number of ddimensio...
Lars Arge, Mark de Berg, Herman J. Haverkort, Ke Y...