Journal article

From Data Analysis and Visualization to Causality Discovery.

Abstract:: As data becomes invisible, emerging technologies can help human analysts and decision makers understand, model, and visualize causal relationships. © 2011 IEEE.

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APA Style

Chen, M., Trefethen, A., Bañares-Alcántara, R., Jirotka, M., Coecke, B., Ertl, T., & Schmidt, A. (2011). From Data Analysis and Visualization to Causality Discovery. IEEE Computer, 44(10), 84–87.

MLA Style

Chen, M, et al. “From Data Analysis and Visualization to Causality Discovery.” IEEE Computer, vol. 44, no. 10, 2011, pp. 84–87.

Chicago Style

Chen, M, A Trefethen, R Bañares-Alcántara, et al. 2011. “From Data Analysis and Visualization to Causality Discovery.” IEEE Computer 44 (10): 84–87.
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Publisher copy:: 10.1109/MC.2011.313

Authors

+ Chen, M More by this author

Institution:: University of Oxford
Division:: MPLS
Department:: Computer Science
Role:: Author

+ Trefethen, A More by this author

Role:: Author

+ Bañares-Alcántara, R More by this author

Role:: Author

+ Jirotka, M More by this author

Role:: Author

+ Coecke, B More by this author

Role:: Author

More authors...

Journal:: IEEE Computer More from this journal
Volume:: 44
Issue:: 10
Pages:: 84-87
Publication date:: 2011-01-01
DOI:: 10.1109/MC.2011.313
ISSN:: 0018-9162

Language:: English
Keywords:: Causality discovery

Invisible computing

Visual analytics

Ubiquitous computing
Pubs id:: pubs:305991
UUID:: uuid:003f3962-7d25-4e99-8fbb-cddb8646e511
Local pid:: pubs:305991
Source identifiers:: 305991
Deposit date:: 2012-12-19
ARK identifier:: ark:/29072/ora_003f39627d254e998fbbcddb8646e511

Terms of use

Copyright date:: 2011

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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