%0 Conference Proceedings
%T Data Mining Challenges in the Management of Aviation Safety
%+ Turku School of Economics
%A Sjöblom, Olli
%Z Part 2: Digital Society
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 13th Conference on e-Business, e-Services and e-Society (I3E)
%C Sanya, China
%Y Hongxiu Li
%Y Matti Mäntymäki
%Y Xianfeng Zhang
%I Springer
%3 Digital Services and Information Intelligence
%V AICT-445
%P 213-223
%8 2014-11-28
%D 2014
%R 10.1007/978-3-662-45526-5_21
%K Management
%K Flight Safety
%K Strategic Management
%K Data Mining
%K Text Mining
%K Analysis Method
%Z Computer Science [cs]
%Z Computer Science [cs]/Networking and Internet Architecture [cs.NI]Conference papers
%X 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.
%G English
%Z TC 6
%Z WG 6.11
%2 https://inria.hal.science/hal-01342151/document
%2 https://inria.hal.science/hal-01342151/file/978-3-662-45526-5_21_Chapter.pdf
%L hal-01342151
%U https://inria.hal.science/hal-01342151
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC6
%~ IFIP-WG6-11
%~ IFIP-I3E
%~ IFIP-AICT-445