There is a Gold Mine in Flight Data: A Framework of Data Mining in Civil Aviation

Xin-bin ZHAO, Bin LI, Cheng-guo WANG

Abstract


Preventing unsafe incidents is the focus of civil aviation. Flight data monitoring, also referred to as Flight Operations Quality Assurance (FOQA) is a powerful supporting tool and means for data collection and analysis. FOQA is regularly implemented in civil aviation where the application of data mining methods has been proposed. This paper surveys data mining techniques and aims at the beginner with little foundations of data mining or civil aviation, as well as a review of published work on application to flight data. It then illustrates that flight data is exactly a gold mine, and the application of data mining in FOQA is an opportunity as well as a challenge.

Keywords


Data Mining, Civil Aviation, FOQA, Data Analysis


DOI
10.12783/dtssehs/meit2017/12896

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