Analysis of Repair Costs of Scholar Buildings Affected by Earthquakes Using Data Mining. Case Study: Earthquakes of 2017 in Mexico

Earthquakes are events that cannot be predicted. However, when they occur, devastating consequences are shown in economic, social and structural areas, among others. In this paper, the mining of association rules is carried out in order to estimate the repair cost required by schools affected during...

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Autores principales: García-Rueda, Graciela, Valdovinos, Rosa M., Valdés-González, Jesús, Alejo, Roberto, González-Ruiz, J. Leonardo, Marcial-Romero, José R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7297593/
http://dx.doi.org/10.1007/978-3-030-49076-8_5
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author García-Rueda, Graciela
Valdovinos, Rosa M.
Valdés-González, Jesús
Alejo, Roberto
González-Ruiz, J. Leonardo
Marcial-Romero, José R.
author_facet García-Rueda, Graciela
Valdovinos, Rosa M.
Valdés-González, Jesús
Alejo, Roberto
González-Ruiz, J. Leonardo
Marcial-Romero, José R.
author_sort García-Rueda, Graciela
collection PubMed
description Earthquakes are events that cannot be predicted. However, when they occur, devastating consequences are shown in economic, social and structural areas, among others. In this paper, the mining of association rules is carried out in order to estimate the repair cost required by schools affected during the earthquakes of September 7th and 19th, of 2017 in Mexico. For that, we use the public data collected by the Mexican FONDEN.
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spelling pubmed-72975932020-06-17 Analysis of Repair Costs of Scholar Buildings Affected by Earthquakes Using Data Mining. Case Study: Earthquakes of 2017 in Mexico García-Rueda, Graciela Valdovinos, Rosa M. Valdés-González, Jesús Alejo, Roberto González-Ruiz, J. Leonardo Marcial-Romero, José R. Pattern Recognition Article Earthquakes are events that cannot be predicted. However, when they occur, devastating consequences are shown in economic, social and structural areas, among others. In this paper, the mining of association rules is carried out in order to estimate the repair cost required by schools affected during the earthquakes of September 7th and 19th, of 2017 in Mexico. For that, we use the public data collected by the Mexican FONDEN. 2020-04-29 /pmc/articles/PMC7297593/ http://dx.doi.org/10.1007/978-3-030-49076-8_5 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
García-Rueda, Graciela
Valdovinos, Rosa M.
Valdés-González, Jesús
Alejo, Roberto
González-Ruiz, J. Leonardo
Marcial-Romero, José R.
Analysis of Repair Costs of Scholar Buildings Affected by Earthquakes Using Data Mining. Case Study: Earthquakes of 2017 in Mexico
title Analysis of Repair Costs of Scholar Buildings Affected by Earthquakes Using Data Mining. Case Study: Earthquakes of 2017 in Mexico
title_full Analysis of Repair Costs of Scholar Buildings Affected by Earthquakes Using Data Mining. Case Study: Earthquakes of 2017 in Mexico
title_fullStr Analysis of Repair Costs of Scholar Buildings Affected by Earthquakes Using Data Mining. Case Study: Earthquakes of 2017 in Mexico
title_full_unstemmed Analysis of Repair Costs of Scholar Buildings Affected by Earthquakes Using Data Mining. Case Study: Earthquakes of 2017 in Mexico
title_short Analysis of Repair Costs of Scholar Buildings Affected by Earthquakes Using Data Mining. Case Study: Earthquakes of 2017 in Mexico
title_sort analysis of repair costs of scholar buildings affected by earthquakes using data mining. case study: earthquakes of 2017 in mexico
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7297593/
http://dx.doi.org/10.1007/978-3-030-49076-8_5
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