"Exploratory Visualization for Big Data: Looking at a Billion Data Points"

Mon Dec 16, 2013 10:00 AM

Location: A.V. Williams Building, Room 2120

Carlos Scheidegger
Information Visualization Department
AT&T Labs

I will present the techniques and algorithms to compute and query a nanocube, a data structure that enables interactive visualizations
of data sources in the range of billions of elements.

Data cubes are widely used for exploratory data analysis. I will present demos of the technique on a variety of real-world datasets, together with comparisons to the previous state of the art with respect to memory, timing, and network bandwidth measurements.

Nanocubes merge database technology and visualization, and increase by two orders of magnitude the scale of data that can be quickly visualized. I will also touch upon other work in the same spirit; a novel approximate numerical linear algebra algorithm that has applications in graph visualization, and a novel trajectory clustering and visualization algorithm.