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Variables más influyentes en la calidad del agua del río Bogotá mediante análisis de datos
| Content Provider | Semantic Scholar |
|---|---|
| Author | Romero, Evelin Lorena Pedraza Montenegro-Marín, Carlos Enrique Herrera, Fabián Gaona, Paulo Díaz, Daissy |
| Copyright Year | 2016 |
| Abstract | En este documento se realiza el analisis de los datos sobre calidad del agua del rio Bogota correspondiente al periodo 2008-2015 proporcionados por la Corporacion Autonoma Regional (CAR) de Cundinamarca, aplicando las diferentes fases de la mineria de datos con el fin de comprobar si es posible la identificacion de patrones de comportamiento y la definicion de variables de mayor impacto en la calidad del agua de la Cuenca. Palabras Clave: analisis de datos, arbol de decision, indice de calidad del agua, mineria de datos variables de impacto. Abstract In this paper the analysis of data on water quality in the Bogota river is performed of the 2008-2015 period provided by the Regional Autonomous Corporation (CAR) of Cundinamarca, by applying the different phases of data mining in order to check whether the identification of patterns of behavior and defining variables of greatest impact on water quality in the basin is possible. Key words: data analysis, data mining, decision tree, impact variables, water quality index |
| Starting Page | 32 |
| Ending Page | 39 |
| Page Count | 8 |
| File Format | PDF HTM / HTML |
| DOI | 10.22335/rlct.v7i2.258 |
| Volume Number | 7 |
| Alternate Webpage(s) | http://revistalogos.policia.edu.co/index.php/rlct/article/download/258/276 |
| Alternate Webpage(s) | https://doi.org/10.22335/rlct.v7i2.258 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
