Descriptive and Predictive Analyses of Data Representing Aviation Accidents

You are here: Homepage > Search

Descriptive and Predictive Analyses of Data Representing Aviation Accidents

Babič, František / Lukáčová, Alexandra / Paralič, Ján

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.

Access

Check access

Check availability in my library

Order at Subito €

Export, share and cite

Document information

Title :

Descriptive and Predictive Analyses of Data Representing Aviation Accidents

Additional title:

Advs in Intelligent Syst., Computing

Contributors:

Zgrzywa, Aleksander (editor) / Choroś, Kazimierz (editor) / Siemiński, Andrzej (editor) / Babič, František (author) / Lukáčová, Alexandra (author) / Paralič, Ján (author)

Published in:

New Research in Multimedia and Internet Systems ; Chapter : 17 ; 181-190

Advances in Intelligent Systems and Computing ; 314

Publication date :

2015-01-01

Size :

10 pages

ISBN :

978-3-319-10383-9 , 978-3-319-10382-2

ISSN :

2194-5365 , 2194-5357

DOI :