Forecasting of Human Development Index of Latin American Countries Through Data Mining Techniques

Aim: Predict the Human Development Index (HDI) of 2013 and 2014 of Latin American countries through forecast data mining techniques. Methodology: Full stages of Knowledge Discovery in Databases applied in univariate and multivariate time series. For the prediction, the predicting abilities of 90 pre...

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Veröffentlicht in:	Revista IEEE América Latina 2017-01, Vol.15 (9), p.1747-1753
Hauptverfasser:	Bilynkievycz dos Santos, Celso, Pedroso, Bruno, Margarete Guimaraes, Alaine, Ribeiro Carvalho, Deborah, Alberto Pilatti, Luiz
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation models Algorithms Biological system modeling Data mining Forecasting HDI Latin America Machine learning Mathematical models Prediction algorithms Prediction models Predictive models Time Series Time series analysis
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