Data mining algorithms for predicting the behavior of environmental indicators
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidad Nacional de Colombia
2021
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| _version_ | 1876475162307592192 |
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| author | Liz Pérez-Martínez |
| author_facet | Liz Pérez-Martínez |
| contents | Data mining algorithms for predicting the behavior of environmental indicators Liz Pérez-Martínez Manuel Alejandro Naranjo-Rey Orlando Santos-Pérez Juan Alfredo Cabrera-Hernández Dianelys Nogueira-Rivera Ingeniería ARIMA Prediction classification temporal serie The need to embrace adequate entrepreneurial focuses to achieve a better environmental performance constitutes an imminent task. Developing predictive models for environmental indicators constitutes the main objective of this paper. An information-technology tool that backs up the decision making will enable an efficient entrepreneurial environmental management, in such a way that they avoid errors that are commented at the present time. The application of techniques of data mining enabled capturing the last bosses and to reply to them, in addition to accomplish estimates with new data or out of sample, as well as inferring behaviors and future results, for the sake of anticipating possible situations of deterioration that compromise the environmental sustainability. The experiments designed to compare to the results in classification using the predictive models, prove that the percentage of error oscillates between the 4 % and the 5 %, what demonstrates extremely good degree of precision (height), according to the scales of verification. 2021 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49671317029 https://www.redalyc.org/journal/496/49671317029/ https://www.redalyc.org/journal/496/49671317029/html/ https://www.redalyc.org/journal/496/49671317029/49671317029.epub https://www.redalyc.org/journal/496/49671317029/movil 10.15446/dyna.v88n219.95018 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.219 Vol.88 |
| format | Artículo científico |
| id | redalyc_49671317029 |
| institution | Redalyc |
| language | en |
| publishDate | 2021 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Data mining algorithms for predicting the behavior of environmental indicators Liz Pérez-Martínez Ingeniería ARIMA Prediction classification temporal serie Data mining algorithms for predicting the behavior of environmental indicators Liz Pérez-Martínez Manuel Alejandro Naranjo-Rey Orlando Santos-Pérez Juan Alfredo Cabrera-Hernández Dianelys Nogueira-Rivera Ingeniería ARIMA Prediction classification temporal serie The need to embrace adequate entrepreneurial focuses to achieve a better environmental performance constitutes an imminent task. Developing predictive models for environmental indicators constitutes the main objective of this paper. An information-technology tool that backs up the decision making will enable an efficient entrepreneurial environmental management, in such a way that they avoid errors that are commented at the present time. The application of techniques of data mining enabled capturing the last bosses and to reply to them, in addition to accomplish estimates with new data or out of sample, as well as inferring behaviors and future results, for the sake of anticipating possible situations of deterioration that compromise the environmental sustainability. The experiments designed to compare to the results in classification using the predictive models, prove that the percentage of error oscillates between the 4 % and the 5 %, what demonstrates extremely good degree of precision (height), according to the scales of verification. 2021 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49671317029 https://www.redalyc.org/journal/496/49671317029/ https://www.redalyc.org/journal/496/49671317029/html/ https://www.redalyc.org/journal/496/49671317029/49671317029.epub https://www.redalyc.org/journal/496/49671317029/movil 10.15446/dyna.v88n219.95018 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.219 Vol.88 |
| title | Data mining algorithms for predicting the behavior of environmental indicators |
| topic | Ingeniería ARIMA Prediction classification temporal serie |
| url | https://www.redalyc.org/articulo.oa?id=49671317029 https://www.redalyc.org/journal/496/49671317029/ https://www.redalyc.org/journal/496/49671317029/html/ https://www.redalyc.org/journal/496/49671317029/49671317029.epub https://www.redalyc.org/journal/496/49671317029/movil |