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Combining Apriori Algorithm and Constraint-Based Genetic Algorithm for Tree Induction for Aircraft Electronic Ballasts Troubleshooting

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4221))

Abstract

Reliable and effective maintenance support is vital to the airline operations and flight safety. This research proposes the hybrid of apriori algorithm and constraint-based genetic algorithm (ACBGA) approach to discover a classification tree for electronic ballasts troubleshooting. Compared with a simple GA (SGA) and the Apriori algorithms with GA (AGA), the ACBGA achieves higher classification accuracy for electronic ballast data.

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© 2006 Springer-Verlag Berlin Heidelberg

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Chiu, C., Hsu, PL., Chiu, NH. (2006). Combining Apriori Algorithm and Constraint-Based Genetic Algorithm for Tree Induction for Aircraft Electronic Ballasts Troubleshooting. In: Jiao, L., Wang, L., Gao, Xb., Liu, J., Wu, F. (eds) Advances in Natural Computation. ICNC 2006. Lecture Notes in Computer Science, vol 4221. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881070_53

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  • DOI: https://doi.org/10.1007/11881070_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45901-9

  • Online ISBN: 978-3-540-45902-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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