Latest revision as of 11:10, 25 January 2021

Abstract

Part 2: Digital Society; International audience; This paper introduces aviation safety data analysis as an important application area for data mining. Safety is a key strategic management concern for safety-critical industries and management needs new, more efficient tools and methods for more effective management routines. The aviation field is confronted with increasing challenges to provide safe and fluent services. Air travel has grown steadily during the last decades with a direct impact on the air traffic control. At the same time, the competition has become tougher because of increasing fuel prices and growing demand for air travel.

Document type: Part of book or chapter of book

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The different versions of the original document can be found in:

• https://link.springer.com/content/pdf/10.1007%2F978-3-662-45526-5_21.pdf

• http://juuli.fi/Record/0007799514,

http://dx.doi.org/10.1007/9783662455265_21

• http://link.springer.com/content/pdf/10.1007/978-3-662-45526-5_21,

http://dx.doi.org/10.1007/978-3-662-45526-5_21 under the license http://www.springer.com/tdm

• https://hal.inria.fr/hal-01342151,

https://hal.inria.fr/hal-01342151/document,

https://hal.inria.fr/hal-01342151/file/978-3-662-45526-5_21_Chapter.pdf under the license http://creativecommons.org/licenses/by/

• https://link.springer.com/chapter/10.1007/978-3-662-45526-5_21,

https://www.scipedia.com/public/Sjoblom_2014a,

https://dblp.uni-trier.de/db/conf/i3e/i3e2014.html#Sjoblom14,

https://rd.springer.com/chapter/10.1007%2F978-3-662-45526-5_21,

https://academic.microsoft.com/#/detail/314319712

DOIS: 10.1007/978-3-662-45526-5_21 10.1007/9783662455265_21