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Airline Crash Investigation Using Data Mining Techniques

Author

Listed:
  • Manasvi Dedania
  • Ekta Bhosale
  • Ankit Champaneria
  • Shubam Lotlikar
  • Rovina D`britto

Abstract

Air transportation systems are designed to ensure that aircraft accidents are rare events. To minimize these accidents, factors causing or contributing to accidents must be understood and prevented. Previous research has studied accident data to determine these factors. In this research work crash investigation and analysis of the flights are done. Airplane crash may be caused due to pilot error, mechanical failure, bad weather, sabotages or human error. In this research we employed a data mining technique to conduct a holistic analysis of aircraft incident data in relation to the accident data. The analysis identifies relationships between the accident and incident data and finds patterns of causal and contributory factors which are significantly associated with aircraft accidents.

Suggested Citation

  • Manasvi Dedania & Ekta Bhosale & Ankit Champaneria & Shubam Lotlikar & Rovina D`britto, 2018. "Airline Crash Investigation Using Data Mining Techniques," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3(3), pages 1200-1204, April.
    • Handle: RePEc:jbh:ijsrcs:v3:y2018:i3:id:hcseit1833477
    Note: Article URL: https://ijsrcseit.com/CSEIT1833477
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