TY  - JOUR
TI  - Airline Crash Investigation Using Data Mining Techniques
AU  - Manasvi Dedania
AU  -  Ekta Bhosale
AU  -  Ankit Champaneria
AU  -  Shubam Lotlikar
AU  -   Prof. Rovina D`britto
JO  - International Journal of Scientific Research in Computer Science, Engineering and Information Technology
PB  - Technoscience Academy
DA  - 2018/04/30
PY  - 2018
DO  - https://doi.org/10.32628/IJSRCSEIT
UR  - https://ijsrcseit.com/CSEIT1833477
VL  - 3
IS  - 3
SP  - 1200	
EP  - 1204
AB  - 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.