The aim of this chapter is to evaluate a potential of suitable data mining methods for analyses of aviation historical data. In our case, we used public aviation dataset from Federal Aviation Administration (FAA) Accident/Incident Data System containing information about civil aviation accidents or incidents within United States of America. This dataset represents interesting source of data for analytical purposes, e.g. it is possible to evaluate an influence of various factors on both types of events and based on identified hidden relations to generate a prediction model for specified target attribute. We compared our approach with some other existing works in this domain and obtained results are plausible and inspiring. Generated models could be used as a basis for aviation warning system or as a supporting method for different processes related to the aviation industry.
Descriptive and Predictive Analyses of Data Representing Aviation Accidents
Advs in Intelligent Syst., Computing
2015-01-01
10 pages
Article/Chapter (Book)
Electronic Resource
English
Descriptive Classification of Diving Accidents
British Library Conference Proceedings | 2005
|Engineering Index Backfile | 1931
|Engineering Index Backfile | 1912
Engineering Index Backfile | 1932
|Engineering Index Backfile | 1931
|