Forecasting monthly airline passenger numbers with small datasets using feature engineering and a modified principal component analysis

In this study, a machine learning approach based on time series models, different feature engineering, feature extraction, and feature derivation is proposed to improve air passenger forecasting. Different types of datasets were created to extract new features from the core data. An experiment was u...

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Bibliographic Details

Main Author:	Sara Al-Ruzeiqi
Format:	Default Thesis
Published:	2020
Subjects:	Other information and computing sciences not elsewhere classified Feature Engineering Deep Learning Principle Component Analysis (PCA) algorithm prediction Information and Computing Sciences not elsewhere classified
Online Access:	https://dx.doi.org/10.26174/thesis.lboro.12249779.v1
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