Concept Drift Adaptive Physical Event Detection for Social Media Streams-Reference-Cited by-同舟云学术

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Concept Drift Adaptive Physical Event Detection for Social Media Streams

Published:2019 Issue: Volume: Page:92-105
ISSN:0302-9743
Container-title:Services – SERVICES 2019
language:
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Author:

Suprem Abhijit,Musaev Aibek,Pu Calton

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-23381-5_7

Reference23 articles.

1. Sakaki, T., Okazaki, M., Matsuo, Y.: Earthquake shakes Twitter users: real-time event detection by social sensors. In: Proceedings of the 19th International Conference on World Wide Web, pp. 851–860. ACM (2010)

2. Jongman, B., Wagemaker, J., Romero, B.R., de Perez, E.C.: Early flood detection for rapid humanitarian response: harnessing near real-time satellite and Twitter signals. ISPRS Int. J. Geo-Inf. 4(4), 2246–2266 (2015)

3. Wakamiya, S., Kawai, Y., Aramaki, E.: Twitter-based influenza detection after flu peak via tweets with indirect information: text mining study. JMIR Public Health Surveill. 4(3), e65 (2018)

4. Yang, S., Santillana, M., Kou, S.C.: Accurate estimation of influenza epidemics using Google search data via ARGO. Proc. Natl. Acad. Sci. 112(47), 14473–14478 (2015)

5. Hirose, H., Wang, L.: Prediction of infectious disease spread using Twitter: a case of influenza. In: 2012 Fifth International Symposium on Parallel Architectures, Algorithms and Programming (PAAP), pp. 100–105. IEEE (2012)

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4. Concept Drift Detection for Social Media: A Survey;2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N);2021-12-17

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