Data Mining in Flight Accident Data
In this paper, we analyzes the data features in flight accident, constructs the data preprocessing structures, improves the Apriori algorithm and applies it into finding frequent patterns of flight accident data warehouse which is organized as a snow flake schema while improving direct rule graph to visualize the association rules.The result shows that data mining technology for further research on historical flight accident data can not only overcome the limitations of the traditional statistics and analysis but also can mine a lot of knowledge so that some references can be provided for future flight safety.
Flight accident Data mining Apriori Association rule
Jun Huang Jilin Zhang Yonglin Ye Hongxia Zeng
Armored Forces Engineering Institute,Beijing,China 100072 General Staff army aviation institute,Beijing,China 100076 University of Science & Technology Beijing,Beijing,China 100063
国际会议
太原
英文
255-257
2011-02-26(万方平台首次上网日期,不代表论文的发表时间)