Application of Data mining in the Specifying the Ongoing Rate of Income Rise in Over-Flight Field. Bahram Kazempour, Mohammad Reza Davari, Fariborz Ghahremani, Behrooz Minaei

Abstract. Over-flight over I.R. of Iran airspace territory is one of the main sources of revenue for our country. In this regard, the appropriate planning in encouraging airlines to over-fly Iran, which is a monopoly in this country, is of a significant importance. On the other hand, the competitive atmosphere dominating the aviation industry particularly in Middle East and considering the presence of new rivals due to reopening the new air routes in our neighboring countries including Iraq is one of our country’s chief concerns for importing foreign currencies. At present in many countries, including Iran the tariff for air navigation charges has a fixed formula and there has been a consistency in this regard. In many countries, including Iran a fixed discount like 30% has been applied to encourage more flights. In this research, having used the data mining techniques, we describe the data of over-flight over 15 years. By using clustering, the total flights are divided into 6 groups and we recommend a changing discount to the directors of the organization in order to increase the flights with an ongoing with an ongoing perspective. In the calculation of navigation charges and considering the competitive atmosphere in encouraging more over-flights and using data mining techniques, we use an ongoing and flexible pattern and the output will lead to a rise in the revenue. Application of this pattern in the whole country will be helpful as well, because economic and commercial planners will be familiarized with application of data mining and its impact on revenue increase and since many problems exist in other industries as well which can be eliminated using the data mining by an appropriate and effective plan in the national and industrial level.

Keywords. Data mining, Clustering, Over-Flight, Tariff for air navigation, Changing discount.

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