计算机应用研究2011，Vol.28Issue(9)：3315-3317,3323,4.DOI:10.3969/j.issn.1001-3695.2011.09.030
一种飞行数据的模糊关联规则挖掘算法
Study of incremental updating fuzzy association mining rules based on flight data
摘要
Abstract
This paper used the fuzzy attribute dataset and support of association rule to get more efficient incremental updating association mining rules. Firstly, the input dataset, determined the fuzzy supporting and the center of fuzzy clustering after fuzz-y-discreting. Secondly, added the minimum support to the fuzzy attribute dataset when it met the min-support. At last, compared the change of fuzzy frequent attribute and negative boundary to get the dataset and rule. The method avoids time consuming in scanning multilayer repeatly and in dataset. In coclusion, this method can mining the incremental association rules efficiently and correctly.关键词
关联规则挖掘/增量更新/模糊属性集/支持度/聚类Key words
association rules mining/ incremental updating/ fuzzy attribute dataset/ support/ clustering分类
信息技术与安全科学引用本文复制引用
梁建海,潘泉,黄鹤,杨峰..一种飞行数据的模糊关联规则挖掘算法[J].计算机应用研究,2011,28(9):3315-3317,3323,4.基金项目
国家自然科学基金重点资助项目(60634030) （60634030）
国家自然科学基金面上项目(61071172,61075029) （61071172,61075029）
