Real-Time Visual Querying of Big Data
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README.md

imMens: real-time visual querying of big data

imMens is a system that supports real-time interactive exploration of datasets consisting of millions or more data points. The implementation is based on techniques described in the following publication:

"imMens: real-time visual querying of big data"

Zhicheng Liu, Biye Jiang and Jeffrey Heer

http://vis.stanford.edu/papers/immens

Documentation of system API and usage: https://github.com/uw-data/imMens/wiki.

This tool is developed by Zhicheng Liu (zcliu@cs.stanford.edu) and is distributed under the BSD-3 license.