지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국자료분석학회 Journal of The Korean Data Analysis Society Journal of The Korean Data Analysis Society 제23권 제6호
- 발행연도
- 2021.12
- 수록면
- 2,535 - 2,546 (12page)
- DOI
- 10.37727/jkdas.2021.23.6.2535
이용수
초록· 키워드
오류제보하기
The COVID-19 pandemic has caused unprecedented impacts along with an enormous number of confirmed cases and deaths in the United States. This study aims to identify hidden clusters among counties in North Carolina using the COVID-19 data. Since individual states implement their own policies to cope with the COVID-19 pandemic, our study is limited to a single state, North Carolina. We incorporated two clustering techniques, dynamic time warping and deep learning autoeconder. Our study used the North Carolina county-wise COVID-19 data from GitHub COVID-19 Data Set, which is the data repository for the COVID-19 Visual Dashboard of the Johns Hopkins University Center for Systems Science and Engineering. From this repository, we selected the daily confirmed cases and deaths of COVID-19 from March 3, 2020 to September 19, 2020. These clustering techniques identified similar hierarchical clusters separating the three metropolitan areas from the remaining regions for both COVID-19 contraction and fatality data, which are significantly correlated with demographic variables such as population size and proportion of elderly people. Our findings suggest the importance of the population density and connectivity for the COVID-19 outbreak.
목차
등록된 정보가 없습니다.
참고문헌 (34)
참고문헌 신청
Bejoy Abraham / 2018 / Computer-aided classification of prostate cancer grade groups from MRI images using texture features and stacked sparse autoencoder / Computerized Medical Imaging and Graphics 69:60~68
Saeed Aghabozorgi / 2015 / Time-series clustering – A decade review / Information Systems 53:16~38
Baker, S. R. / The Unprecedented Stock Market Impact of COVID-19(No.w26945)
Bartik, A. W. / 2020 / The impact of COVID-19 on small business outcomes and expectations / Proceedings of the National Academy of Sciences 117(30):17656~17666
Hong Cheng / 2016 / An image-to-class dynamic time warping approach for both 3D static and trajectory hand gesture recognition / Pattern Recognition 55:137~147
Saeed Aghabozorgi / 2015 / Time-series clustering – A decade review / Information Systems 53:16~38
Baker, S. R. / The Unprecedented Stock Market Impact of COVID-19(No.w26945)
Bartik, A. W. / 2020 / The impact of COVID-19 on small business outcomes and expectations / Proceedings of the National Academy of Sciences 117(30):17656~17666
Hong Cheng / 2016 / An image-to-class dynamic time warping approach for both 3D static and trajectory hand gesture recognition / Pattern Recognition 55:137~147
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