Extracting Knowledge from Open Data of Epidemic Diseases-Reference-Cited by-同舟云学术

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Extracting Knowledge from Open Data of Epidemic Diseases

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 5th Multidisciplinary International Social Networks Conference on - MISNC '18
language:
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Author:

Wu ChienHsing¹,Kao Shu-Chen²,Wu Chuan-Chun³

Affiliation:

1. Department of Information Management, National University of Kaohsiung, Kaohsiung, Taiwan, R.O.C.

2. Department of Information Management, Kun Shan University, Tainan City, Taiwan, R.O.C.

3. Department of Information Management, I-Shou University, Kaohsiung, Taiwan R.O.C.

Publisher

ACM Press

Reference34 articles.

1. Aburas, H.M., Cetiner, B.G., and Sari, M. 2010. Dengue confirmed-cases prediction: A neural network model. Expert Systems with Applications, 37(6), 4256--4260.

2. Banu, S., Hu, W., Guo, Y., Hurst, C., and Tong, S. 2014. Projecting the impact of climate change on dengue transmission in Dhaka, Bangladesh. Environment International, 63, 137--142.

3. TCDC, Taiwan's Center Disease Control. 2017. Access date: 2017, May, http://www.cdc.gov.tw/english/index.aspx

4. Wu, C.H., Kao, S.C. and Kan, M.H. (2017), Knowledge discovery in open data of dengue epidemic, Proceeding on MISNC '17 The 4th Multidisciplinary International Social Networks Conference, Bangkok, Thailand - July 17-19, doi: http://dl.acm.org/citation.cfm?doid=3092090.3092093

5. Chen, C.C., and Chang, H.C. 2013. Predicting dengue outbreaks using approximate entropy algorithm and pattern recognition. Journal of Infection, 67(1), 65--71.

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