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, ...
A fundamental building block of many data mining and analysis approaches is density estimation as it provides a comprehensive statistical model of a data distribution. For that re...
Analytical queries defined on data warehouses are complex and use several join operations that are very costly, especially when run on very large data volumes. To improve response...
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...
This paper proposes a novel multiclass classification method and exhibits its advantage in the domain of text categorization with a large label space and, most importantly, when ...