Z: Why vis?

Publication: M. Chen et al. [2011]: From Data Analysis and Visualization to Causality Discovery doi:10.1109/MC.2011.313

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Title From Data Analysis and Visualization to Causality Discovery
Authors
  1. Chen, Min
  2. Trefethen, Anne E
  3. Alcántara, René Bañares
  4. Jirotka, Marina
  5. Coecke, Bob
  6. Ertl, Thomas
  7. Schmidt, Albrecht
Year 2011
DOI 10.1109/MC.2011.313
ISBN ---
@article{Chen2011,
 title = {From Data Analysis and Visualization to Causality Discovery},
 author = {Chen, Min and Trefethen, Anne E and Alc{\'a}ntara, Ren{\'e} Ba{\~n}ares and Jirotka, Marina and Coecke, Bob and Ertl, Thomas and Schmidt, Albrecht},
 year = {2011},
 doi = {10.1109/MC.2011.313},
 journal = {IEEE Computer},
 number = {10},
 pages = {84--87},
 volume = {44}
}

Last updated 3 years, 7 months ago (March 20, 2018) by Streeb, Dirk

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Visualizations are open for interaction (+) Positive One or more sentences p. 85 «algorithms alone cannot encode an adequate amount of human knowledge a bout relevant concepts, facts, and contexts—hence the need for interaction;» Streeb, Dirk: March 20, 2018
Visualizations are precise (i.e., verbose) (+) Positive One or more sentences p. 85 «statistical methods alone cannot convey an adequate amount of information for humans to make informed decisions—hence the need for visualization» Streeb, Dirk: March 20, 2018
Visualizations make data accessible (+) Positive One or more sentences p. 85 «direct interaction with data alone isn’t scalable to the amount of data available—hence the need for analysis and visualization.» Streeb, Dirk: March 20, 2018
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