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Title: Entropy and Insight: Exploring how information theory can be used to quantify sensemaking in visual analytics.

Abstract

Abstract not provided.

Authors:
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1528754
Report Number(s):
SAND2018-5419T
663301
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Thesis/Dissertation
Country of Publication:
United States
Language:
English

Citation Formats

Holman, Sidney Philip. Entropy and Insight: Exploring how information theory can be used to quantify sensemaking in visual analytics.. United States: N. p., 2018. Web.
Holman, Sidney Philip. Entropy and Insight: Exploring how information theory can be used to quantify sensemaking in visual analytics.. United States.
Holman, Sidney Philip. Tue . "Entropy and Insight: Exploring how information theory can be used to quantify sensemaking in visual analytics.". United States.
@article{osti_1528754,
title = {Entropy and Insight: Exploring how information theory can be used to quantify sensemaking in visual analytics.},
author = {Holman, Sidney Philip},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {5}
}

Thesis/Dissertation:
Other availability
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