某机载雷达数据库关联规则挖掘算法研究  

Research on Association Rule Mining Algorithm of One Airborne Radar Database

作　　者：崔建[1] 李强[1] 吴瑕[1] 

机构地区：[1]空军雷达学院预警监视情报系,武汉430019

出　　处：《计算机工程》2011年第18期16-18,21,共4页Computer Engineering

基　　金：国家自然科学基金资助项目(60736009)

摘　　要：某机载雷达数据库中包含大量连续属性和分类属性,且数据库规模庞大。为此,给出一种改进的模糊关联规则挖掘算法。该算法引入有向无环图和字节向量用以提高频繁项目集的计算效率,解决挖掘时磁盘操作频繁的问题,并定义新的模糊度量提高正规则的识别概率。实验结果表明,该算法比传统算法具有更高的执行效率和准确率。One airborne radar database with a large scale contains massive continuous attributes and categorical attributes.An improved algorithm of fuzzy association rule mining is presented.It improves the computational efficiency of frequent itemsets by introducing the DAG and the byte-vector structure for reducing the I/O overhead generated during the database mining.Meanwhile,the algorithm defines new fuzzy measure to enhance the recognition probability of the positive rules.Experimental results show that the algorithm has a better performance than the traditional algorithm.

关 键 词：大型机载雷达数据库 QL-算子 字节向量结构 模糊度量 数据挖掘 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]