DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Taesung | ko |
dc.contributor.author | Kim, Jinhee | ko |
dc.contributor.author | Yang, Wonho | ko |
dc.contributor.author | Lee, Hunjoo | ko |
dc.contributor.author | Choo, Jaegul | ko |
dc.date.accessioned | 2021-12-20T06:41:14Z | - |
dc.date.available | 2021-12-20T06:41:14Z | - |
dc.date.created | 2021-12-20 | - |
dc.date.created | 2021-12-20 | - |
dc.date.created | 2021-12-20 | - |
dc.date.created | 2021-12-20 | - |
dc.date.issued | 2021-11 | - |
dc.identifier.citation | INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, v.18, no.22 | - |
dc.identifier.issn | 1661-7827 | - |
dc.identifier.uri | http://hdl.handle.net/10203/290798 | - |
dc.description.abstract | To prevent severe air pollution, it is important to analyze time-series air quality data, but this is often challenging as the time-series data is usually partially missing, especially when it is collected from multiple locations simultaneously. To solve this problem, various deep-learning-based missing value imputation models have been proposed. However, often they are barely interpretable, which makes it difficult to analyze the imputed data. Thus, we propose a novel deep learning-based imputation model that achieves high interpretability as well as shows great performance in missing value imputation for spatio-temporal data. We verify the effectiveness of our method through quantitative and qualitative results on a publicly available air-quality dataset. | - |
dc.language | English | - |
dc.publisher | MDPI | - |
dc.title | Missing Value Imputation of Time-Series Air-Quality Data via Deep Neural Networks | - |
dc.type | Article | - |
dc.identifier.wosid | 000727989300001 | - |
dc.identifier.scopusid | 2-s2.0-85120421976 | - |
dc.type.rims | ART | - |
dc.citation.volume | 18 | - |
dc.citation.issue | 22 | - |
dc.citation.publicationname | INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH | - |
dc.identifier.doi | 10.3390/ijerph182212213 | - |
dc.contributor.localauthor | Choo, Jaegul | - |
dc.contributor.nonIdAuthor | Yang, Wonho | - |
dc.contributor.nonIdAuthor | Lee, Hunjoo | - |
dc.description.isOpenAccess | Y | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | time-series data | - |
dc.subject.keywordAuthor | spatio-temporal data | - |
dc.subject.keywordAuthor | missing value imputation | - |
dc.subject.keywordAuthor | interpretable deep learning | - |
dc.subject.keywordAuthor | air pollution | - |
dc.subject.keywordPlus | POLLUTION | - |
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