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International Journal of Aviation, Aeronautics, and Aerospace
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A Data Mining Approach To Building A Predictive Model Of Low-Cost Carriers' Presence In The U.S. Domestic Routes, Canh Nguyen, John E. Deaton, Nurettin Dinler
A Data Mining Approach To Building A Predictive Model Of Low-Cost Carriers' Presence In The U.S. Domestic Routes, Canh Nguyen, John E. Deaton, Nurettin Dinler
International Journal of Aviation, Aeronautics, and Aerospace
The purpose of the study was to build the predictive model of the presence of U.S. low-cost carriers (LCCs) in the domestic network structure. SEMMA (Sample, Explore, Modify, Model, and Assess) schematic in data mining was followed and employed as the primary methodological procedure. Data in the period of 1Q2016-1Q2018 were extracted from the Bureau of Transportation Statistics (DB1B database) and reconstructed to form predictors. Stepwise logistic regression showed a significant predictive performance compared to decision tree technique in terms of fitting measures, which was then used as the concluding model. Significant predictors included: (1) Market concentration positively related with …