From Data Analysis and Visualization to Causality Discovery

As data becomes invisible, emerging technologies can help human analysts and decision makers understand, model, and visualize causal relationships.

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Bibliographic Details
Published in:Computer (Long Beach, Calif.) Calif.), 2011-10, Vol.44 (10), p.84-87
Main Authors: Min Chen, Trefethen, A., Banares-Alcantara, R., Jirotka, M., Coecke, B., Ertl, T., Schmidt, A.
Format: Article
Language:English
Subjects:
Applied sciences
Causality
Causality discovery
Cause effect analysis
Computer science
control theory
systems
Computer simulation
Computer systems and distributed systems. User interface
Data analysis
Data processing
Decision making
Exact sciences and technology
Human
Invisible computing
Mathematical models
Software
Ubiquitous computing
Visual analytics
Visualization
Citations: Items that cite this one
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Description
Summary:As data becomes invisible, emerging technologies can help human analysts and decision makers understand, model, and visualize causal relationships.
ISSN:0018-9162
1558-0814
DOI:10.1109/MC.2011.313