Privacy-preserving data mining has concentrated on obtaining valid results when the input data is private. An extreme example is Secure Multiparty Computation-based methods, where...
In an effort to support the development of context-aware applications that use archived sensor data, we introduce the concept of the Context Cube based on techniques of data wareho...
Lonnie D. Harvel, Ling Liu, Gregory D. Abowd, Yu-X...
SeismoSpin is a novel interactive instrument designed around a “Disc-Jockey/mixer” metaphor that gives seismologists a quick and powerful way to explore earthquake data. The c...
Mark McKelvin, Ragnhild Nestande, Leticia Valdez, ...
This paper presents a set of feature enhancement techniques coupled with hardware-accelerated nonphotorealistic rendering for generating more perceptually effective visualizations...
Spatial data mining is the discovery of interesting relationships and characteristics that may exist implicitly in spatial databases. In this paper, we explore whether clustering ...