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dc.contributor.authorSilva, Jesússpa
dc.contributor.authorLondoño, Luz Adrianaspa
dc.contributor.authorVarela, Noelspa
dc.contributor.authorPineda Lezama, Omar Bonergespa
dc.contributor.authorLozano Ayarza, Liliana Patriciaspa
dc.contributor.authorMOJICA HERAZO, JULIO CESARspa
dc.date.accessioned2021-02-17T20:44:59Z
dc.date.available2021-02-17T20:44:59Z
dc.date.issued2020
dc.identifier.issn1757-8981spa
dc.identifier.issn1757-899Xspa
dc.identifier.urihttps://hdl.handle.net/11323/7872spa
dc.description.abstractClimate change is one of the problems facing society today because of its impacts on the health of living beings. That is why the authorities need tools that provide them with the information necessary to make decisions that will reduce the impact of such change. This paper proposes a strategy to group the air quality data of the metropolitan area of the City of Bogotá from 2014 to 2018, in order to recognize the measurement patterns in the environmental contaminants that cause pre-contingencies and environmental contingencies in the area of the City of Bogotá.spa
dc.format.mimetypeapplication/pdfspa
dc.language.isoeng
dc.publisherCorporación Universidad de la Costaspa
dc.rightsCC0 1.0 Universalspa
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/spa
dc.sourceIOP Conference Series: Materials Science and Engineeringspa
dc.subjectAnalysis of dataspa
dc.subjectAir qualityspa
dc.subjectBogotáspa
dc.subjectGrouping techniquesspa
dc.titleAnalysis of air quality data in the city of Bogotá through clustering techniquesspa
dc.typeArtículo de revistaspa
dc.source.urlhttps://www.researchgate.net/publication/342502820_Analysis_of_air_quality_data_in_the_city_of_Bogota_through_clustering_techniquesspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.identifier.doidoi:10.1088/1757-899X/872/1/012027spa
dc.identifier.instnameCorporación Universidad de la Costaspa
dc.identifier.reponameREDICUC - Repositorio CUCspa
dc.identifier.repourlhttps://repositorio.cuc.edu.co/spa
dc.relation.references[1] Jyothi, S. N., Kartha, K., Mohan, A., Pai, J., & Prasad, G. (2019, November). Analysis of Air Pollution in Three Cities of Kerala by Using Air Quality Index. In Journal of Physics: Conference Series (Vol. 1362, No. 1, p. 012110). IOP Publishing.spa
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dc.relation.references[3] Yan, J., Li, X., Shi, Y., Sun, S., & Wang, H. (2019). The effect of intention analysis-based fraud detection systems in repeated supply Chain quality inspection: A context of learning and contract. Information & Management, 103177.spa
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dc.relation.references[6] Yang, C. T., Chen, C. J., Tsan, Y. T., Liu, P. Y., Chan, Y. W., & Chan, W. C. (2019). An implementation of real-time air quality and influenza-like illness data storage and processing platform. Computers in Human Behavior, 100, 266-274.spa
dc.relation.references[7] Niu, X., Wang, X., Gao, J., & Wang, X. (2020). Has third-party monitoring improved environmental data quality? An analysis of air pollution data in China. Journal of environmental management, 253, 109698.spa
dc.relation.references[8] Yang, R., Zhang, X., Ye, X., Wang, C., & Li, X. (2020). Ventilation modes and greenhouse structures affect 222 Rn concentration in greenhouses in China. Journal of Radioanalytical and Nuclear Chemistry, 1-9.spa
dc.relation.references[9] Rekhi, J. K., Nagrath, P., & Jain, R. (2020). Forecasting Air Quality of Delhi Using ARIMA Model. In Advances in Data Sciences, Security and Applications (pp. 315-325). Springer, Singapore.spa
dc.relation.references[10] Zhang, B., Li, L., Yao, X., Gong, Y., Zhang, Y., Yang, H., ... & Jia, H. (2020). Analysis of Air Purification Methods in Operating Rooms of Chinese Hospitals. BioMed Research International, 2020.spa
dc.relation.references[11] Rodríguez-Camargo, L. A., Sierra-Parada, R. J., & Blanco-Becerra, L. C. (2020). Análisis espacial de las concentraciones de PM2. 5 de acuerdo con los valores guía de calidad del aire de la OMS para enfermedades cardiopulmonares en Bogotá, DC, 2014-2015. Biomédica, 40(1).spa
dc.relation.references[12] Sanchez, L., Vásquez, C., & Viloria, A. (2018, June). Conglomerates of Latin American countries and public policies for the sustainable development of the electric power generation sector. In International Conference on Data Mining and Big data (pp. 759-766). Springer, Cham.spa
dc.relation.references[13] Guzmán, J. S., Hernandez, H. T., Mora, J. M., Piracoca, A., Vanegas, J. S., & Pachon, J. E. (2019, June). Análisis espacio temporal de concentraciones de material particulado en Bogotá: un año de operación de una red independiente. In Congreso Colombiano y Conferencia Internacional de Calidad del Aire y Salud Pública.spa
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dc.type.coarhttp://purl.org/coar/resource_type/c_6501spa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.redcolhttp://purl.org/redcol/resource_type/ARTspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2spa


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