Many applications require storing data in Wireless Sensor Networks (WSNs). For example, in environmental monitoring applications, WSN may archive sensor data for retrieval at peri...
In order to handle classification problems with real-valued attributes using discretization algorithms it is necessary to obtain a good and reduced set of cut points in order to l...
In an influential paper titled “The Benefits of Relaxing Punctuality” [2], Alur, Feder, and Henzinger introduced Metric Interval Temporal Logic (MITL) as a fragment of the r...
Robust Statistics considers the quality of statistical decisions in the presence of deviations from the ideal model, where deviations are modelled by neighborhoods of a certain siz...
This paper introduces a new method for supervised discretization based on interval distances by using a novel concept of neighborhood in the target's space. The proposed metho...