Characterization of Disaster Related Tweets According to Its Urgency-Reference-Cited by-同舟云学术

Characterization of Disaster Related Tweets According to Its Urgency

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 5th International Conference on Computing and Artificial Intelligence - ICCAI '19
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Author:

Acosta Michael E.¹,Palaoag Thelma D.²

Affiliation:

1. Information Technology Department, Pangasinan State University, Urdaneta City, Philippines

2. Department of Computer Science, University of Cordilleras, Baguio City, Philippines

Publisher

ACM Press

Reference45 articles.

1. Agrawal, R., Imieliński, T., & Swami, A. 1993. Mining association rules between sets of items in large databases. In Acmsigmod record (Vol. 22, No. 2, pp. 207--216). ACM.

2. Altman, DG. 1991. Practical Statistics for Medical Reearch. London: Chapman and Hall.

3. Balana, C.D. 2012. Social Media: Major Tool in Disaster Response. Inquirer Technology, pp. 5.

4. BKotsiantis, S., &Kanellopoulos, D. 2006. Association rules mining: A recent overview. GESTS International Transactions on Computer Science and Engineering, 32(1), 71--82.

5. Blanchard, H., A. Carvin, M.E. Whittaker, M. Fitsgerald, W. Harman and B. Humprey. 2012. The Case for Integrating Crisis Response With Social Media. White Paper, American Red Cross, Washington, DC, pp. 32.

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