A deep understanding of the air transport system remains hidden within its data. However, data scientists and domain experts are working together and reaching an unprecedented understanding of system behaviour. A challenging and promising path has opened and new technologies and data intensive applications are being formulated.

Air transport experts can enable this paradigm shift with a set of techniques at their disposal, including data management, data protection, deep analytics, data visualization, as well as supporting data architectures. Applying these techniques to aviation data can potentially provide new insights on paramount aspects like environmental impact, safety or performance efficiency.

We offer an inside look into the knowledge and ideas surrounding these techniques. The scenarios and use cases aim to inspire others and to stimulate joint initiatives to make a larger impact in aviation data knowledge discovery.

LATEST POSTS ON LEARNING

Research documents clustering...

The Horizon 2020 Coordination and support action CAMERA evaluates the impact of European mobility-related projects. The CORDIS database presents a high volume of unclassified project data to which manual methodologies would be impossible to apply due to the high...

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LATEST POSTS ON IDEAS

Data Science and...

One of the main concepts behind Machine Learning is stationarity, i.e. that the characteristics of a system do not vary through time. In other words, to properly translate any operational problem in a Data Mining...

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