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

• Autorzy: Pisarek R. , Akpinar M. T. , Hızıroglu A.
• Języki publikacji: EN

Abstrakty

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.

Słowa kluczowe

EN

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

• Wydawca: Międzynarodowa Wyższa Szkoła Logistyki i Transportu we Wrocławiu
• Czasopismo: Logistics and Transport
• Rocznik: 2017
• Tom: Vol. 36, No. 4
• Strony: 79--88
• Opis fizyczny: Bibliogr. 19 poz., rys., tab.

Twórcy

autor

Pisarek R.

• University of Lodz, Poland

autor

Akpinar M. T.

• Business School, Ankara Yildirim Beyazit University, Turkey

autor

Hızıroglu A.

• School of Political Science, Social Sciences University of Ankara, Turkey

Bibliografia

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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).