研究了静态数据库当中挖掘压缩序列模式的问题,提出了一个压缩序列模式挖掘算法.该算法通过对闭序列模式全集进行划分处理,降低了序列的比对空间,并结合δ-dominant序列检测机制,有效的挖掘出了压缩序列模式集.实验表明,该算法具有较好的运行效率.
This paper researches the problem of mining compressed sequential patterns in a static database. By ranging the closed sequential patterns and using the δ - dominant detecting technique, this paper propose a algorithm which can decrease number of closed sequential patterns, and mining compressed sequential patterns efficiently. The experimental results show that the algorithm has higher accuracy.