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- Ko, Sungahn
- Intelligent Visual Analysis and Data Exploration Research
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| DC Field | Value | Language |
|---|---|---|
| dc.citation.conferencePlace | GR | - |
| dc.citation.conferencePlace | Online | - |
| dc.citation.title | IEEE International Conference on Data Engineering 2021 | - |
| dc.contributor.author | Lee, Hyunwook | - |
| dc.contributor.author | Park, Cheonbok | - |
| dc.contributor.author | Jin, Seungmin | - |
| dc.contributor.author | Chu, Hyeshin | - |
| dc.contributor.author | Choo, Jaegul | - |
| dc.contributor.author | Ko, Sungahn | - |
| dc.date.accessioned | 2024-01-31T22:06:59Z | - |
| dc.date.available | 2024-01-31T22:06:59Z | - |
| dc.date.created | 2021-05-03 | - |
| dc.date.issued | 2021-04-21 | - |
| dc.identifier.bibliographicCitation | IEEE International Conference on Data Engineering 2021 | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/77535 | - |
| dc.identifier.url | https://icde2021.gr/detailed-program/ Short Papers 783 | - |
| dc.publisher | IEEE | - |
| dc.title | An empirical experiment on deep learning models for predicting traffic data | - |
| dc.type | Conference Paper | - |
| dc.date.conferenceDate | 2021-04-19 | - |
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