Anomaly Detection in Aviation Safety Data

The aviation safety is the vital component in global air transport system. As the accidents are the results of complex interactions of various risks and contributing factors, the key to avoid accidents will be proactively identifying such risks and contributing factors and mitigating them beforehand. To support the risk identification, IATA, International Air Transport Association has been collected extensive operation safety data, including accident reports, incident reports and flight data. The project aims to build anomaly detection models that examine the data automatically to help finding potential risks.

Intern: 
Yi Yu;Rim Lachegar
Superviseur universitaire: 
Denis Larocque
Province: 
Quebec
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