Data Mining Application in Air Transportation – the Case of Turkish Airlines

• Authors: Pisarek Renata , Akpinar Musab Talha , Hızıroglu Abdulkadir
• Languages of publication: EN

Abstracts

EN

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.

Keywords

EN

data mining; K-means; airlines; air transport; Turkish Airlines

• Publisher: Międzynarodowa Wyższa Szkoła Logistyki i Transportu
• Journal: Logistics and Transport
• Year: 2017
• Volume: 36
• Pages: 79-88

Contributors

author

Pisarek Renata

• Uniwersytet Łódzki

author

Akpinar Musab Talha

• Ankara Yıldırım Beyazıt Üniversitesi

author

Hızıroglu Abdulkadir

• Ankara Sosyal Bilimler Üniversitesi