THE BENEFITS OF DATA MINING IN FLIGHT DATA MONITORING

Abstract

Recording and processing flight data (FD) ensures the safety of modern civil aviation. By processing and analyzing of flight data, the causes of aviation incidents are revealed. The accuracy of data processing in this field is of great importance. Flight data monitoring (FDM) is a crucial process in the aviation industry that involves the collection, analysis, and interpretation of FD to improve safety and efficiency. The system monitors a wide range of flight parameters. However, analyzing large amounts of FD manually can be a time-consuming and daunting task. By using advanced data analysis techniques such as data mining, FDM systems can provide detailed insights into aircraft operations, allowing airlines and operators to identify areas for improvement and take proactive measures to prevent incidents or accidents. In the context of FDM, data mining can help analyze FD more efficiently and identify patterns that may not be apparent through manual analysis. The article discusses the issues of recording and processing of FD, which play an important role in ensuring the safety of civil aviation in modern times, including the analysis of that data with the help of data mining technology, were examined, and various algorithms of data mining were investigated. Keywords: flight data, flight data monitoring, flight safety, aircraft, artificial intelligence, data mining.