| 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: |
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| Study on Mining Periodicity and Association Rules From Temporal Database |
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| 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 |
