Utilization of Machine Learning Algorithm to Determine Factors Affecting Response to Action Among Filipinos Toward the Eruption of Taal Volcano-Reference-Cited by-同舟云学术

Utilization of Machine Learning Algorithm to Determine Factors Affecting Response to Action Among Filipinos Toward the Eruption of Taal Volcano

Published:2022 Issue: Volume: Page:181-192
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Ong Ardvin Kester S.,Prasetyo Yogi Tri,Kurata Yoshiki B.,Chuenyindee Thanatorn

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-17422-3_17

Reference28 articles.

1. Reuters, Philippines raises Taal volcano danger level as thousands evacuate, CNN, (2021). https://edition.cnn.com/2021/07/01/asia/mass-evacuation-philippines-volcano-intl-hnk/index.html

2. Zlotnicki, J., et al.: Combined electromagnetic geochemical and thermal surveys of Taal Volcano (Philippines) during the period 2005–2006. Bull. Volcanol. 71, 29–47 (2009). https://doi.org/10.1007/s00445-008-0205-2

3. Delos Reyes, P.J., Bornas, M.A.V., Dominey-Howes, D., Pidlaoan, A.C., Magill, C.R., Solidum, R.U.: A synthesis and review of historical eruptions at Taal Volcano, Southern Luzon, Philippines. Earth Sci. Rev. 177, 565–588 (2018). https://doi.org/10.1016/j.earscirev.2017.11.014

4. Ong, A.K.S., et al.: Factors affecting intention to prepare for mitigation of “the bing one” earthquake in the Philippines: integrating protection motivation theory and extended theory of planned behaviour. Int. J. Disaster Risk Reduction 63, 102467 (2021). in press

5. Prasetyo, Y.T., et al.: Factors affecting response actions of the 2020 Taal Volcano eruption among Filipinos in Luzon, Philippines: a structural equation modeling approach. Int. J. Disaster Risk Reduction 63, 102454 (2021). in press