Developing an Interdisciplinary Data Science Program-Reference-Cited by-同舟云学术

Developing an Interdisciplinary Data Science Program

Published:2021-03-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 52nd ACM Technical Symposium on Computer Science Education
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Author:

Salloum Mariam¹,Jeske Daniel¹,Ma Wenxiu¹,Papalexakis Vagelis¹,Shelton Christian¹,Tsotras Vassilis¹,Zhou Shuheng¹

Affiliation:

1. University of California, Riverside, Riverside, CA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3408877.3432454

Reference17 articles.

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2. Big Data Research and Development (R&D) Initiative [n.d.]. Big Data Research and Development (R&D) Initiative. https://obamawhitehouse.archives.gov/blog/2016/05/23/administrationissues- strategic-plan-big-data-research-and-development. Big Data Research and Development (R&D) Initiative [n.d.]. Big Data Research and Development (R&D) Initiative. https://obamawhitehouse.archives.gov/blog/2016/05/23/administrationissues- strategic-plan-big-data-research-and-development.

3. Big Data to Knowledge (BD2K) Program 2017. Big Data to Knowledge (BD2K) Program. https://commonfund.nih.gov/bd2k. Big Data to Knowledge (BD2K) Program 2017. Big Data to Knowledge (BD2K) Program. https://commonfund.nih.gov/bd2k.

4. BPDM 2019. Broadening Participation in Data Mining. http://www.dataminingshop.com/web/. [Online; accessed 19-March-2019]. BPDM 2019. Broadening Participation in Data Mining. http://www.dataminingshop.com/web/. [Online; accessed 19-March-2019].

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