会议专题

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

2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

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)