Manuscript Number : CSEIT1833477
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.
Manasvi Dedania Data Mining, Clustering K-Means Clustering, Cosine Similarity Publication Details Published in : Volume 3 | Issue 3 | March-April 2018 Article Preview
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
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