A data mining model for critical-to-quality characteristics of military aviation accidents was constructed,which was composed of 2 main demand traction function modules and 3 function level modules.The data transmission path was straightened out,the algorithm analysis efficiency was played,and the refining and transformation from accident data to critical-to-quality characteristics information was realized,providing intellectual support for the first-line decision-making of aviation maintenance management.Taking the data set of air force crash incident of Country Y collected and sorted as an example,the designed data mining model was used,and data mining in 3 dimensions of time,space and association was carried out for the data set.Clear,novel and credible data mining results were obtained,which were sorted into effective key quality characteristic information.
关键词
数据挖掘模型/数据可视化/航空事故/关联规则/关键质量特性/时空统计/军用航空器
Key words
data mining model/data visualization/aviation accident/association rules/critical-to-quality characteristics/spatio-temporal statistic/military aircraft
维普
万方数据