We consider the computational problem of finding nearest neighbors in general metric spaces. Of particular interest are spaces that may not be conveniently embedded or approximate...
The last decade has seen a huge interest in classification of time series. Most of this work assumes that the data resides in main memory and is processed offline. However, recent...
Shashwati Kasetty, Candice Stafford, Gregory P. Wa...
In recent years, integrated spatialized voice services have become an appealing application for networked virtual environments (NVE), e.g., Second Life. With a spatialized voice s...
— We consider the problem of processing exact results for sliding window joins over data streams with limited memory. Existing approaches deal with memory limitations by shedding...
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...