Open Access
MATEC Web Conf.
Volume 304, 2019
9th EASN International Conference on “Innovation in Aviation & Space”
Article Number 04005
Number of page(s) 8
Section Systems
Published online 17 December 2019
  1. Sahay, A. (2012). Leveraging information technology for optimal aircraft maintenance, repair and overhaul (MRO). Oxford: Woodhead Publishing [Google Scholar]
  2. 2. Chapman, P., Clinton, J., Kerber, R., Khabaza, T., Reinartz, T., Shearer, C., & Wirth, R. (2000). CRISP-DM 1.0 Step-by-step data mining guide. The CRISP-DM consortium. [Google Scholar]
  3. Boer, R. et al. (2015). Maintaining your competitive edge. Amsterdam: Centre for Applied Research Technology of the Amsterdam University of Applied Sciences. [Google Scholar]
  4. Pelt, M. et al. (2019). Data Mining in MRO. Amsterdam: Aviation Academy Research Programme, Amsterdam University of Applied Sciences. ISBN: 9789492644114 [Google Scholar]
  5. Piatetsky, G. (2014). CRISP-DM, still the top methodology for analytics, data mining, or data science projects. Retrieved from [Google Scholar]
  6. Sayad, S. (2017). An introduction to data mining. Retrieved from [Google Scholar]
  7. Tinga T., Z. E. (2013). Predictive Maintenance of Military Systems Based on Physical Failure Models. Chemical Engineering Transactions. Vol. 33. [Google Scholar]
  8. Pelt, M., Stamoulis, K. (2018). Data Mining for aircraft Maintenance Repair and Overhaul (MRO) process optimization. Istanbul: Proceedings Book of ISATECH – 2018, ISBN: 9786056864049 [Google Scholar]
  9. Apostolidis, A., Stamoulis, K, Pelt, M. (2020). Aviation Data Analytics in MRO Operations: Prospects and Pitfalls. Proceedings, 66th Annual Reliability & Maintainability Symposium (RAMS 2020) [Google Scholar]

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