Difference between revisions of "File:Fig9 Kalathil FrontInResMetAnal2018 2.jpg"

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==Summary==
{{Information
|Description='''Figure 9.''' Material–application pairing matrix from the U.S. Department of Energy Critical Materials Strategy Report, December 2011. These classifications were used to validate the results from the clustering algorithms.
|Source={{cite journal |title=Application of text analytics to extract and analyze material–application pairs from a large scientific corpus |journal=Frontiers in Research Metrics and Analytics |author=Kalathil, N.; Byrnes, J.J.; Randazzese, L.; Hartnett, D.P.; Freyman, C.A. |volume=2 |pages=15 |year=2018 |doi=10.3389/frma.2017.00015}}
|Author=Kalathil, N.; Byrnes, J.J.; Randazzese, L.; Hartnett, D.P.; Freyman, C.A.
|Date=2018
|Permission=[http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International]
}}
== Licensing ==
== Licensing ==
{{cc-by-4.0}}
{{cc-by-4.0}}

Latest revision as of 19:16, 22 May 2018

Summary

Description

Figure 9. Material–application pairing matrix from the U.S. Department of Energy Critical Materials Strategy Report, December 2011. These classifications were used to validate the results from the clustering algorithms.

Source

Kalathil, N.; Byrnes, J.J.; Randazzese, L.; Hartnett, D.P.; Freyman, C.A. (2018). "Application of text analytics to extract and analyze material–application pairs from a large scientific corpus". Frontiers in Research Metrics and Analytics 2: 15. doi:10.3389/frma.2017.00015. 

Date

2018

Author

Kalathil, N.; Byrnes, J.J.; Randazzese, L.; Hartnett, D.P.; Freyman, C.A.

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Creative Commons Attribution 4.0 International

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