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EN
The paper described brief economic analysis and comparison of Turkish Airlines, Lufthansa Group and Air France-KLM. Throughout the economic and commercial development and with disappearance of boundaries between countries is rapidly changing air transport. The transportation and logistics investments and competition between companies and states rapidly increased. Thus, transportation modes developed and changed rapidly as a natural response to development itself. In the paper, we will practice the comparison of two major companies of European Air Freight: Turkish Airlines and Lufthansa.
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.
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