Z: Why vis?

Node: Visualization enables alphabet compression

Descriptor AlphabetCompression
Argumentative standpoint Basic
Description

A visualization process facilitates the reduction of the entropy of the data space (i.e., alphabet compression). For example, a visualization alphabet normally has lower entropy than the data alphabet being visualized. A decision alphabet normally has lower entropy than the visualization alphabet with which decisions are made.

Last updated 3 years, 3 months ago (June 22, 2018) by Streeb, Dirk

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R. Goebel 2014 A Sketch of a Theory of Visualization 0 0 1 3 0
M. Chen and A. Golan 2016 What May Visualization Processes Optimize? 0 0 1 10 0
N. Kijmongkolchai, A. Abdul-Rahman and M. Chen 2017 Empirically Measuring Soft Knowledge in Visualization 0 0 1 9 0
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Streeb, Dirk: M. Chen and A. Golan [2016]: What May Visualization Processes Optimize? doi:10.1109/TVCG.2015.2513410 - 04.03.18 10:31 (+) Positive Basically all of the publication abstract We noticed a common phenomenon at different levels of visualization, that is, the transformation of data spaces (referred to as alphabets) usually corresponds to the reduction of maximal entropy along a workflow.
Streeb, Dirk: R. Goebel [2014]: A Sketch of a Theory of Visualization doi:10.5220/0004852702180221 - 21.02.18 15:36 (+) Positive One or more sentences Abstract In this regard, the creation of pictures from data is about data compression, which is naturally a kind of machine learning. Just as statistical concepts like average and standard deviation provide a measure on properties of a set of numbers, so too does visualization provide a kind of “measure” on data compressed to a visual vocabulary presented as a picture.
Streeb, Dirk: N. Kijmongkolchai, A. Abdul-Rahman and M. Chen [2017]: Empirically Measuring Soft Knowledge in Visualization doi:10.1111/cgf.13169 - 25.01.18 15:04 (+) Positive
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