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,具有实用性和有效性。 |
关键词: 知识发现 时态数据库 关联规则 周期规律 数据挖掘 |
DOI: |
修订日期:2000-12-26 |
基金项目: |
|
Study on Mining Periodicity and Association Rules From Temporal Database |
|
|
Abstract: |
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. |
Key words: KDD,temporal database,periodicity,association rule |