增量数据挖掘初探_文档下载_文档资源库 关键词] 数据挖掘；关联规则；频繁项集；增量挖掘算法 键词 [gap=17516]Key words:Data Mining,Association Rules,Infrequent itemset,Incremental Mining Algorithm
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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。
On the basis of RAPHF, a rough set incremental algorithm with dynamic mining ability, namely, RAPHF-I is proposed by considering the updating samples.
针对负荷预测过程中样本数据是滚动更新的特点，在RAPHF的基础上提出了具有动态挖掘能力的粗糙集增量算法raphf - I。
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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