本文提出了一个基于模式分解树，不需要扫描原数据库的增量挖掘算法。

The paper presents an algorithm for incremental mining which is based on pattern decomposing tree and has no need for scanning old data base.

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但是，如果在数据库更新之后要对全部数据重新进行挖掘，需要消耗大量的资源，这导致对增量挖掘算法的迫切需求。

But, if we need recalculate rules from all data to mine knowledge after updating the database, it will consume massive resources, which causes the urgent demand of the incremental mining algorithm.

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本文主要研究基于粗集的增量算法的数据挖掘系统。

This paper research a data mining system based on incremental updating algorithms of rough set theory.

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