Decision support system for seismic risks

Authors

  • María J. Somodevilla Benemérita Universidad Autónoma de Puebla, Facultad de Ciencias de la Computación, Puebla, México
  • Ángeles Belém Priego Benemérita Universidad Autónoma de Puebla, Facultad de Ciencias de la Computación, Puebla, México
  • Esteban Castillo Benemérita Universidad Autónoma de Puebla, Facultad de Ciencias de la Computación, Puebla, México
  • Ivo H. Pineda Benemérita Universidad Autónoma de Puebla, Facultad de Ciencias de la Computación, Puebla, México
  • Darnes Vilariño Benemérita Universidad Autónoma de Puebla, Facultad de Ciencias de la Computación, Puebla, México
  • Angélica Nava Benemérita Universidad Autónoma de Puebla, Facultad de Ciencias de la Computación, Puebla, México

Keywords:

Earthquake, Data Warehouse, OLAP, Data mining

Abstract

This paper focuses on prediction and prevention of seismic risk through a system for decision making. Data Warehousing and OLAP operations are applied, together with, data mining tools like association rules, decision trees and clustering to predict aspects such as location, time of year and/or earthquake magnitude, among others. The results of the data mining and data warehouse application help to confirm uncertainty about problems behavior in decision making, related to the prevention of seismic hazards.

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References

[1] Sivakumar Harinath, Stephen R. Quinn, Professional SQL Server Analysis Services 2005 with MDX , Inox, 2005
[2] Red Sísmica del CICESE: http://sismologia.cicese.mx/resnom/principal/
[3] José Hernández Orallo, María José Ramírez Quintana, César Ferri Ramírez: Introducción a la Minería de Datos, Pearson/Prentice Hall, 2004
[4] El Servicio Geológico de EE.UU. http://www.usgs.gov/
[5] Sistema Sismológico Nacional http://www.ssn.unam.mx/
[6] Centro Nacional de Información Terremotos http://earthquake.usgs.gov/regional/neic/
[7] Franklin, C. An introduction to Geographic Information Systems: Linking Maps to databases. Database. 1992.
[8] Kimball & Ross, The Kimball Group Reader; Relentlessly Practical Tools for Data Warehousing and Business Intelligence, Indianapolis, Wiley, 2010.
[9] Kimball et al., The Data Warehouse Lifecycle Toolkit. 2nd Edition. New York, Wiley, 2008
[10] Daniel Santin González, Cesar Pérez López : Minería de datos: Técnicas y Herramientas, Madrid, Thompson , 2007.

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Published

2012-08-01

How to Cite

Somodevilla, M. J., Priego, Ángeles B., Castillo, E., Pineda, I. H., Vilariño, D., & Nava, A. (2012). Decision support system for seismic risks. Journal of Computer Science and Technology, 12(02), p. 71–77. Retrieved from https://journal.info.unlp.edu.ar/JCST/article/view/656

Issue

Section

Original Articles