关联规则挖掘在电子对抗目标分析中的应用  

Application of Association Rule Mining to Target Analysis in Electronic Countermeasure

作　　者：李政[1] 祝利[1] 韦伟[1] 

机构地区：[1]电子工程学院,合肥230037

出　　处：《舰船电子对抗》2015年第5期1-4,14,共5页Shipboard Electronic Countermeasure

摘　　要：为提高作战决策的合理性,从电子对抗目标之间、电子对抗目标与其它武器系统和作战行动之间普遍存在的关联关系出发,针对关联关系的2种模式,采用频繁模式增长关联规则挖掘算法和序列关联规则挖掘算法分别进行关联规则挖掘,并利用模拟侦察数据对上述算法进行仿真验证。仿真结果表明,采用上述算法可以有效发现数据中蕴含的关联规则。In order to improve the rationality of operation decision-making,starting from the association relationship among electronic countermeasure targets,among electronic countermeasure targets and other weapon systems operation actions,aiming at two patterns of association relationships,uses frequent-pattern-growth association rule mining algorithm and sequential association rule mining algorithm to perform association rule mining seperately,and uses simulation reconnaissance data to perform simulation validation to above algorithms.The simulation result indicates that the above algorithms can mine the association rules of data effectively.

关 键 词：电子对抗 目标分析 关联规则 频繁模式增长算法 

分 类 号：TN971.1[电子电信—信号与信息处理]