Decision support system for seismic risks

Decision support system for seismic risks

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 eart...

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Bibliographic Details
Main Authors: María J. Somodevilla, Ángeles Belém Priego, Esteban Castillo, Ivo H. Pineda, Darnes Vilariño, Angélica Nava
Format: Article
Language:English
Published: Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata 2012-08-01
Series:Journal of Computer Science and Technology
Subjects:
earthquake
data warehouse
olap
data mining
Online Access:https://journal.info.unlp.edu.ar/JCST/article/view/656
Description
Summary: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.
ISSN:1666-6046
1666-6038

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