Tile based visual analytics for Twitter big data exploratory analysis

Abstract

New tools for raw data exploration and characterization of “big data” sets are required to suggest initial hypotheses for testing. The widespread use and adoption of web-based geo maps have provided a familiar set of interactions for exploring extremely large geo data spaces and can be applied to similarly large abstract data spaces. Building on these techniques, a tile based visual analytics system (TBVA) was developed that demonstrates interactive visualization for a one billion point Twitter dataset. TBVA enables John Tukey-inspired exploratory data analysis to be performed on massive data sets of effectively unlimited size.

DOI: 10.1109/BigData.2013.6691787

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@article{Cheng2013TileBV, title={Tile based visual analytics for Twitter big data exploratory analysis}, author={Daniel Cheng and Peter Schretlen and Nathan Kronenfeld and Neil Bozowsky and William Wright}, journal={2013 IEEE International Conference on Big Data}, year={2013}, pages={2-4} }