After that incremental data mining algorithm of establishing decision matrix to each of decision type is put forward and the characteristic of rationality and validity are examined by example.
在此基础上提出相应的对每一个决策类建立决策矩阵的增量式挖掘算法，最后利用算例验证了算法的合理性和有效性。
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.
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。
The paper presents an algorithm for incremental mining which is based on pattern decomposing tree and has no need for scanning old data base.
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。
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