时态数据库周期规律与关联规则的挖掘  

Study on Mining Periodicity and Association Rules From Temporal Database

作　　者：陶兰[1] 唐玉荣[1] 

机构地区：[1]中国农业大学电气信息学院

出　　处：《中国农业大学学报》2001年第4期76-80,共5页Journal of China Agricultural University

摘　　要：提出了一种简单有效、抗干扰的周期规律挖掘算法 ;研究了关联规则提取过程中的连续属性离散化 ,并用 Apriori算法发现有效的规则。对电信话务量时态数据库的挖掘测试结果表明 ,该算法实现较简单 ,执行效率较高 。The method for mining the periodicity and association rules fr om temporal database is presented. To discover periodicity, a simple, efficient and anti-jamming algorithm was proposed. A method for discretization in the pro cessing of mining association rules and Apriori algorithm to discover efficient rules was presented. The results on a group of traffic data showed that the meth od is useful and efficient.

关 键 词：知识发现 时态数据库 关联规则 周期规律 数据挖掘 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]