The immense explosion of geographically referenced data calls for efficient discovery of spatial knowledge. One critical requirement for spatial data mining is the capability to ...
Wei Ding 0003, Christoph F. Eick, Jing Wang 0007, ...
Attempts to extract logical rules from data often lead to large sets of classification rules that need to be pruned. Training two classifiers, the C4.5 decision tree and the Non-Ne...
Karol Grudzinski, Marek Grochowski, Wlodzislaw Duc...
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...
We propose VAriable Length Value Encoding (VALVE) technique to reduce the power consumption in the off-chip data buses. While past research has focused on encoding fixed length da...
Dinesh C. Suresh, Banit Agrawal, Walid A. Najjar, ...
In [23] we presented a partial evaluation scheme for a “real life” subset of Prolog, containing first-order built-in’s, simple side-effects and the operational predicate i...