Background: Three-dimensional (3-D) visualization of multimodality neuroimaging data provides a powerful technique for viewing the relationship between structure and function. A n...
Eider B. Moore, Andrew V. Poliakov, Peter Lincoln,...
Data-driven knowledge discovery is becoming a new trend in various scientific fields. In light of this, the goal of the present paper is to introduce a novel framework to study one...
Chen Yu, Thomas G. Smith, Shohei Hidaka, Matthias ...
Traditional data mining techniques have been extensively applied to find interesting patterns, build descriptive and predictive models from large volumes of data accumulated throug...
Mykola Pechenizkiy, Nikola Trcka, Ekaterina Vasily...
Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...
We present two tools to support the teaching of data structures and algorithms: Visualizers, which provide interactive visualizations of user-written data structures, and Testers,...
Ryan Shaun Baker, Michael Boilen, Michael T. Goodr...