Data Mining Application in Air Transportation – the Case of Turkish Airlines
Journal Title: Logistics and Transport - Year 2017, Vol 36, Issue 4
Abstract
The paper presents an exemplification of data mining techniques in aviation industry on the basis of Turkish Airlines. The purpose of the paper is to present application of data mining on the selected operational data, concerning international flight passenger baggage data, in year 2015. The differences in passenger and flight profiles have been examined. Firstly, two-steps approach allowed defining the number of clusters. Secondly, K-means clustering were applied to divide data into a certain number of clusters representing the different areas of consumption. Results can contribute to higher efficiency in decision making regarding destination offer and fleet management.
Authors and Affiliations
Renata Pisarek, Musab Talha Akpinar, Abdulkadir Hızıroglu
Keywords
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