DefinePK

Abstract

Punctuality of air traffic is one of the most important criteria for choosing an air service. In this paper, we would like to develop and implement an experimental model based on the CRISP-DM (Cross Industry Standard Process for Data Mining) methodology applied to Big Data Mining. In this case, we choose the data from the ASA (The American Statistical Association) air traffic data for the experiment and then analyzed the data by using the Hadoop Distributed File System, Hive and R studio. The using the analysis, the arrival delay can be proposed for optimal airports. In fact there was a way to take advantage of the leverage results, so we got the best results when applying ANN (Artificial Neural Network) model.