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, ...
The concepts of similarity and distance are crucial in data mining. We consider the problem of defining the distance between two data sets by comparing summary statistics compute...
The NameVoyager, a web-based visualization of historical trends in baby naming, has proven remarkably popular. This paper discusses the display techniques used for smooth visual e...
In applications such as fraud and intrusion detection, it is of great interest to measure the evolving trends in the data. We consider the problem of quantifying changes between tw...
Clustering is a difficult problem especially when we consider the task in the context of a data stream of categorical attributes. In this paper, we propose SCLOPE, a novel algorith...