The backup of large data sets is preferably performed automatically outside of regular working hours. In highly structured computer networks, however, faults and exceptions may rel...
A parallel rule-extracting algorithm based on the improved discernibility matrix [2] is proposed, by this way, a large amount of raw data can be divided into some small portions to...
It is important for any data language that it enables many people to derive correct information from a databases in a simple, effective way with predictable performance. In an ana...
We propose a strategy to reduce the impact of the sparse data problem in the tasks of lexical information acquisition based on the observation of linguistic cues. It justifies tha...
Robust Optimization is a rapidly developing methodology for handling optimization problems affected by non-stochastic "uncertain-butbounded" data perturbations. In this p...