An Information Fusion Technique for Prognosticating Future Air Passenger Trends

Article

Abstract: The aviation industry is constantly changing and to keep up with the trends of air passengers we nee

Palabras claves:

Air Passenger Forecasting, Predictive Analysis, ARIMA Modeling, Aviation Industry Trends, Exponential smoothing, Information Fusion, Machine Learning, time series prediction, Transportation Forecasting

Autores:

Luis Antonio Llerena Ocaña, Sanjar Mirzaliev, Tannia Cristina Poveda Morales, Vladimir Vega Falcón, Zambrano L.O.A.

Fuentes:

scopus