The Journal of Technology, Management, and Applied Engineering: Data Analytics
dc.contributor.author | Mosher, Gretchen | |
dc.contributor.author | Chin, Robert | |
dc.contributor.author | Peters, Randy | |
dc.contributor.department | Department of Agricultural and Biosystems Engineering (ENG) | |
dc.date | 2018-02-18T03:46:14.000 | |
dc.date.accessioned | 2020-06-29T22:34:51Z | |
dc.date.available | 2020-06-29T22:34:51Z | |
dc.date.copyright | Fri Jan 01 00:00:00 UTC 2016 | |
dc.date.embargo | 2017-01-31 | |
dc.date.issued | 2016-01-01 | |
dc.description.abstract | <p>The audience will learn about current data analytics drawn from the Journal of Technology, Management, and Applied Engineering. Implications for publication choices and continuous improvement of the Journal will be discussed.</p> | |
dc.description.comments | <p>The abstract, "The Journal of Technology, Management, and Applied Engineering: Data Analytics" (Gretchen A. Mosher, Robert A. Chin and Randy Peters), as published in the Proceedings of the ATMAE 2016 Conference (2016 ATMAE Annual Conference, Orlando, Florida, November 2–5, 2016)" is a copyrighted publication of ATMAE, the Association of Technology, Management, and Applied Engineering, 1390 Eisenhower Place, Ann Arbor, MI 48108 This paper has been republished with the authorization of ATMAE.</p> | |
dc.format.mimetype | application/pdf | |
dc.identifier | archive/lib.dr.iastate.edu/abe_eng_conf/497/ | |
dc.identifier.articleid | 1499 | |
dc.identifier.contextkey | 9604429 | |
dc.identifier.s3bucket | isulib-bepress-aws-west | |
dc.identifier.submissionpath | abe_eng_conf/497 | |
dc.identifier.uri | https://dr.lib.iastate.edu/handle/20.500.12876/534 | |
dc.language.iso | en | |
dc.source.bitstream | archive/lib.dr.iastate.edu/abe_eng_conf/497/2016_Mosher_JournalTechnology.pdf|||Sat Jan 15 00:30:49 UTC 2022 | |
dc.subject.disciplines | Agriculture | |
dc.subject.disciplines | Bioresource and Agricultural Engineering | |
dc.subject.disciplines | Scholarly Publishing | |
dc.title | The Journal of Technology, Management, and Applied Engineering: Data Analytics | |
dc.type | article | |
dc.type.genre | abstract | |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | d4270080-adb0-4e32-aa5c-6bce7f39e6a8 | |
relation.isOrgUnitOfPublication | 8eb24241-0d92-4baf-ae75-08f716d30801 |
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