Data mining methods have been successfully applied to different fields. Aviation industry is one of these fields. There is a large amount of knowledge and data accumulation in aviation industry. These data could be stored in the form of pilot reports, maintenance reports, incident reports, component reports or delay reports. This paper explains the data mining application on the component reports of an airline company in Turkey. In this study, we applied data mining functions on the component reports. The purpose of our application is to find out a rule about the warning level of the components to do correcting operation before any fault. As a result we found out a meaningful rule that presents the formulation of the warning level of the co...
The operation and maintenance of modern sensor-equipped systems such as passenger aircraft generate ...
This paper describes the use of statistics and machine learning techniques to monitor the performanc...
Data mining is a process used for the discovery of data correlation; the technique includes successf...
Data mining methods have been successfully applied to different fields. Aviation industry is one of ...
Risk and safety have always been important considerations in aviation. With the rapid growth in air ...
Data mining methods have been successfully applied to different fields. Aviation industry is one of ...
It can be understood that this sector will be one of the indispensable and increasingly demanding se...
We explore different methods of data mining in the field of aviation and their effectiveness. The fi...
Safety occurrences in the aviation industry are nowadays commonly regarded as the outcome of a compl...
Data mining seems to be a promising way to tackle the problem of unpredictability in MRO organizatio...
Abstract—Air transportation systems are designed to ensure that aircraft accidents are rare events. ...
This paper is aimed to discuss current research using data mining techniques and industry statistics...
PDFProceedingsData miningAir traffic controlHuman errorBrown University. Center for the Study of Rac...
Data mining is the extraction of implicit, previously unknown and potentially useful information fro...
Part 2: Digital SocietyInternational audienceThis paper introduces aviation safety data analysis as ...
The operation and maintenance of modern sensor-equipped systems such as passenger aircraft generate ...
This paper describes the use of statistics and machine learning techniques to monitor the performanc...
Data mining is a process used for the discovery of data correlation; the technique includes successf...
Data mining methods have been successfully applied to different fields. Aviation industry is one of ...
Risk and safety have always been important considerations in aviation. With the rapid growth in air ...
Data mining methods have been successfully applied to different fields. Aviation industry is one of ...
It can be understood that this sector will be one of the indispensable and increasingly demanding se...
We explore different methods of data mining in the field of aviation and their effectiveness. The fi...
Safety occurrences in the aviation industry are nowadays commonly regarded as the outcome of a compl...
Data mining seems to be a promising way to tackle the problem of unpredictability in MRO organizatio...
Abstract—Air transportation systems are designed to ensure that aircraft accidents are rare events. ...
This paper is aimed to discuss current research using data mining techniques and industry statistics...
PDFProceedingsData miningAir traffic controlHuman errorBrown University. Center for the Study of Rac...
Data mining is the extraction of implicit, previously unknown and potentially useful information fro...
Part 2: Digital SocietyInternational audienceThis paper introduces aviation safety data analysis as ...
The operation and maintenance of modern sensor-equipped systems such as passenger aircraft generate ...
This paper describes the use of statistics and machine learning techniques to monitor the performanc...
Data mining is a process used for the discovery of data correlation; the technique includes successf...