Data analytics and visualization (DAV) addresses the explosion in quantity, richness and accessibility of diverse forms of data produced by a myriad of instruments and systems, including
- Critical physical infrastructures like sensor networks, power grids, wireless communication systems, and transportation networks;
- Social and economic networks and;
- Healthcare systems like immunization and epidemiology networks, and molecular and gene regulatory networks.
However, the big data revolution is meaningless without concomitant growth in technologies for extracting, analyzing, interpreting and visualizing the valuable information embedded in these data. Success demands a multidisciplinary approach that combines signal processing, mathematical modelling, statistical analysis and machine learning methods with cognitive science and visual and design practices and knowledge.
