因此，分布式并行数据挖掘处理模式是目前研究的热点问题之一。
So, distributed and parallel data mining pattern is one of hot problems of research currently.
提出了一个面向商业智能的、具有较高数据挖掘效率的并行数据挖掘体系结构。
A parallel data mining architecture is put forward, facing to business intelligence and having higher data mining efficiency.
通过在并行数据挖掘体系结构中增加模式库管理系统，对数据挖掘的结果模式进行存储和管理，从而有效利用了历史模式，提高了整个数据挖掘系统的效率。
Pattern base management system is added, which manages result pattern. With this history patterns can be used available and the efficiency of whole data mining system can be improved.
通过在并行数据挖掘体系结构中增加模式库管理系统，对数据挖掘的结果模式进行存储和管理，从而有效利用了历史模式，提高了整个数据挖掘系统的效率。
Pattern base management system is added, which manages result pattern. With this history patterns can be used available and the efficiency of whole data mining system can be improved.
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