Analyzing Scholars@Duke Data via Tensor Factorization
| dc.contributor.author | Hu, C | |
| dc.coverage.spatial | Technology Engagement Center, Duke University | |
| dc.date.accessioned | 2017-02-28T18:32:10Z | |
| dc.date.available | 2017-02-28T18:32:10Z | |
| dc.date.issued | 2017-02-28 | |
| dc.description.abstract | The goal of this visualization was to examine the geographic spread of collaborations represented in the scholars@duke dataset. The goal of the Scholars@Duke Visualization Challenge was to create visualizations that capture the richness and dynamism of Duke research. The datasets were provided by Scholars@Duke (https://schoalrs.duke.edu/) and they describe publications, authorships, and scholarly collaborations from university researchers over the past 5 years. | |
| dc.identifier.uri | ||
| dc.publisher | Duke Research Computing | |
| dc.source | Scholars@Duke Data Visualization Challenge | |
| dc.title | Analyzing Scholars@Duke Data via Tensor Factorization | |
| dc.type | Conference | |
| pubs.finish-date | 2017-01-20 | |
| pubs.organisational-group | Duke | |
| pubs.organisational-group | Student | |
| pubs.publisher-url | ||
| pubs.start-date | 2017-01-18 |
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