This paper focus on forest resource state factors and their changes of lowest division unit and gives a data updating algorithm.

重点分析了最小单位森林资源状态因子及其变化规律，提出并实现了数据更新算法。

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Provides a practical updating algorithm for negative incremental association rules in which the size of data sets is reduced, with the supporting and confidence limits unchanged.

提出了一种实用的在支持度和置信度不变的情况下数据集规模减小的负增量关联规则更新算法。

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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。

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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。

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