Abstract
In order to study the applicability of data mining in the study of ATC operational safety, take the six typical factors that may affect the safety of ATC as the former, and the level of unsafe incidents in ATC as the next term, use correlation analysis and Apriori algorithm, And set a reasonable degree of confidence in the rules, the degree of support for the rules, analysis of air traffic insecurity incidents. Taking the general ATC operational safety incident as an example, the results show that the data mining has applicability in the problem of ATC operational safety, and each of the influencing factors has a certain relevance; Each of the preceding factors has an impact on the safety of ATC operations, but the degree of impact is different. Among them, the factors that have a greater impact are mainly control load, airspace environment and control equipment.
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Zhang, Z., Zhang, J., Wang, S. (2018). Research on Application of ATC Operation Security Based on Data Mining. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11067. Springer, Cham. https://doi.org/10.1007/978-3-030-00018-9_54
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DOI: https://doi.org/10.1007/978-3-030-00018-9_54
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