Utilizing Energy Metrics and Clustering Techniques to Identify Anomalous General Aviation Operations
Author(s) -
Tejas G. Puranik,
Hernando Jiménez,
Dimitri N. Mavris
Publication year - 2017
Publication title -
2018 aiaa information systems-aiaa infotech @ aerospace
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2017-0789
Subject(s) - cluster analysis , computer science , aviation , energy (signal processing) , data mining , artificial intelligence , engineering , aerospace engineering , statistics , mathematics
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