2020 DOI: 10.20944/preprints202008.0392.v1 View full text Preprint
Honglin Xiong, Chongjun Fan, Collins Opoku Antwi, Yun Yang, Xiaomao Fan

Abstract: Air passenger traffic prediction is crucial for the effective operation of civil aviation airports. Despite some progress in this field, the prediction accuracy and methods need further improvement. This paper proposes an integrated approach to the prediction of air passenger index as follows. Firstly, the air passenger index is defined and classified by the K-means clustering method. Based on the mutual information (MI) principle, the information entropy is used to analyze and select the key influencing facto…

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