计算机应用与软件2016，Vol.33Issue(11)：21-23,61,4.DOI:10.3969/j.issn.1000-386x.2016.11.005
基于关联规则挖掘的航班协同保障数据知识发现研究
RESEARCH ON KNOWLEDGE DISCOVERY OF FLIGHT COOPERATIVE SECURITY DATA BASED ON ASSOCIATION RULE MINING
摘要
Abstract
With the rapid development of civil aviation in our country,the major hub airports have accumulated massive flight cooperative security data,and it is of significant meaning to mine the potential hidden knowledge in them.Aiming at this issue,we combine the airport flight cooperative security business regulations with the features of flight cooperative security data,mined the knowledge hidden in flight cooperative security data by using association rule mining technology,and further got the help from the mined knowledge to optimise flight security process and to improve the quality of airport service support.It is verified trough example that the association rule algorithm can well mine the potential knowledge hidden in flight cooperative security data,and the application of it in practices can provide effective support and decision-making basis for optimising the flight security process,increasing the flight punctuality,and enhancing the capability of airport service support.关键词
航班保障数据/关联规则/知识发现/航班准点率Key words
Flight security data/Association rules/Knowledge discovery/Flight punctuality分类
信息技术与安全科学引用本文复制引用
丁建立,王曼..基于关联规则挖掘的航班协同保障数据知识发现研究[J].计算机应用与软件,2016,33(11):21-23,61,4.基金项目
国家自然科学基金项目（60879015）；中国民航科技重大专项（MHRD201241）。 （）
