VERİ MADENCİLİĞİ VE HAVACILIKTAKİ UYGULAMALARI: BUGÜNE VE GELECEĞE KISA BİR BAKIŞ

Öz

İçinde yaşadığımız çağda, hayatımızın her alanına giren teknolojiler sayesinde, her gün çok büyük miktarda sayısal veri üretilmektedir. Bu büyük verinin hem depolanması hem de analizi, yeni araçlara ve tekniklere ihtiyacı da arttırmaktadır. Bu açılardan ele alındığında, veri madenciliği farklı tipte veri havuzlarına uygulanabilmesi, her türlü veriyi uygun yöntemlerle işleyebilmesi, geçmiş davranışlardan geleceğe yönelik çıkarımlar yapılmasını sağlayabilmesi gibi özellikleri sayesinde çok farklı sektörlerde ve disiplinlerde kullanılabilmektedir. Gerek operasyonel (havaalanı, havayolu, hava trafiği, vb.) gerekse teknik konular (uçak sistemleri, bakım, kaza/olay incelemeleri, vb.) açısından bakıldığında havacılık sektörü de veri madenciliğinin çok farklı konularda uygulanabileceği büyük bir veri havuzu sunmaktadır. Bu çalışmanın amacı, öncelikle yakın bir geçmiş içinde veri madenciliğinin havacılık alanındaki uygulamalarını ve bu uygulamaların çeşitliliğini incelemektir. Sonuç olarak ise havacılık alanında veri madenciliği ve büyük veri analizi çalışmalarının yoğunlaştığı ve keşfedilmeye açık alanların bir değerlendirmesi sunulmaktadır

Anahtar Kelimeler

• Veri madenciliği, büyük veri, havacılık

DATA MINING AND ITS APPLICATIONS TO AVIATION: A BRIEF LOOK AT THE PRESENT AND FUTURE

Abstract

In the era we live in, thanks to the technologies that enter every field of our lives, digital data are produced in great quantities every day. Both the storage and analysing issues of this large data increase the need for new tools and techniques. With these points of view, because its features, such as being applicable to different types of data repositories, able to process all kinds of data with appropriate methods and able to predict future from past behavior, data mining can be applied in many different sectors and disciplines. Aviation sector also offers a huge data pool where data mining can be implemented in many different ways, both in terms of operational (airport, airline, air traffic, etc.) and technical issues (aircraft systems, maintenance, accident/incident investigations, etc.). The aim of this study is primarly, to examine the data mining applications and the diversity of these in aviation. As a result, an assesment of on which fields data mining and large data analysis works are concentrated and open areas of discovery with the standpoint of data mining in aviaition

Keywords

• Data mining, big data, aviation

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