Airline Crash Investigation Using Data Mining Techniques

Authors(5) :-Manasvi Dedania, Ekta Bhosale, Ankit Champaneria, Shubam Lotlikar, Prof. Rovina D`britto

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.

Authors and Affiliations

Manasvi Dedania
Department of information Technology Mumbai University Maharashtra, India
Ekta Bhosale
Department of information Technology Mumbai University Maharashtra, India
Ankit Champaneria
Department of information Technology Mumbai University Maharashtra, India
Shubam Lotlikar
Department of information Technology Mumbai University Maharashtra, India
Prof. Rovina D`britto
Assistant Professor, Department of information Technology Mumbai University Maharashtra, India

Data Mining, Clustering K-Means Clustering, Cosine Similarity

  1. Oluwatuyi,O.,&Ileri,O. N. (2013). Air disaster and its implications in the developing countries: a case study of Nigeria. Modern Social Science Journal,2014,Article-ID.
  2. SAFETY,A. (2002). Australian Aviation Accidents Involving Fuel Exhaustion and Starvation.
  3. Airplanes,C. (1959). Statistical Summary of Commercial Jet Airplane Accidents. Worldwide Operations,2008.
  4. Nazeri,Z.,Donohue,G.,& Sherry,L. (2008). Analyzing Relationships Between Aircraft Accidents and Incidents. In Proceedings of the International Conference on Research in Air Transportation.
  5. Mugtussids,I. B. (2000). Flight Data Processing Techniques to Identify Unusual Events.
  6. Iwadare,K.,&Oyama,T. (2015). Statistical Data Analyses on Aircraft Accidents in Japan: Occurrences,Causes and Countermeasures. American Journal of Operations Research,5(03),222.
  7. Lagos,A.,Motevalli,M.,& Sakata,N. (2005,March). Analysis of the Effect of Milestone Aviation Accidents on Safety Policy,Regulation,and Technology. In 46th Annual Transportation Research Forum,Washington,DC,March 6-8,2005 (No. 208180). Transportation Research Forum

Publication Details

Published in : Volume 3 | Issue 3 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1200-1204
Manuscript Number : CSEIT1833477
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Manasvi Dedania, Ekta Bhosale, Ankit Champaneria, Shubam Lotlikar, Prof. Rovina D`britto, "Airline Crash Investigation Using Data Mining Techniques", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.1200-1204, March-April-2018. |          | BibTeX | RIS | CSV

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