Analysis of I.R.I.A.A Aviation Accidents from 1989 to 2019 Using Data Mining Tools

Abstract

Considering that the use of recorded information of past accidents and its analysis is very effective in safety policies and accident prevention, in this study, after creating a database of real data related to air accidents from 1989 to 1398, using The science of data mining provided the basis for intelligent decision-making to reduce air accidents in aviation. The research method is descriptive-survey and SPSS software was used for statistical analysis of accidents and SPSS Modeler was used to implement data mining algorithms. The results showed that in about half of the accidents that occurred, no damage was caused by the bird and about 35% of the accidents that occurred occurred in the category of flight events and only 6% of the air accidents resulted in a total accident and in July with 34 +% Most flight events occur and pilots with 15 to 20 years of flight experience are at higher risk than other pilots.

Keywords

• "flight accidents"
• "disaster analysis"
• "statistical data"
• "data mining". "i.r.i.a.a."