A4 Refereed article in a conference publication
Data Mining Challenges in the Management of Aviation Safety
Authors: Olli Sjöblom
Editors: Hongxiu Li, Matti Mäntymäki, Xianfeng Zhang
Conference name: IFIP Conference on e-Business, e-Services, e-Society
Publication year: 2014
Journal: IFIP Advances in Information and Communication Technology
Book title : Digital Services and Information Intelligence
Journal name in source: DIGITAL SERVICES AND INFORMATION INTELLIGENCE
Journal acronym: IFIP ADV INF COMM TE
Series title: IFIP Advances in Information and Communication Technology
Volume: 445
First page : 213
Last page: 223
Number of pages: 11
ISBN: 978-3-662-45525-8
eISBN: 978-3-662-45526-5
ISSN: 1868-4238
DOI: https://doi.org/10.1007/978-3-662-45526-5_21
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.
