This paper studies data mining classification calculation of SLIQ.

本文研究基于SLIQ的数据挖掘分类算法。

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SLIQ is one of the effective algorithms that can handle data sets in large databases.

SLIQ算法是处理大型数据库数据的有效算法之一。

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In the tree-building phase, a bread-first tree growing strategy is used to enable SLIQ to handle large disc-resident data sets;

在树的构建阶段采用了树的宽度优先增长策略，使得SLIQ能够处理海量的磁盘数据；

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Knowledge discovery component take SLIQ as basic arithmetic. It provides classification model in two stage forms which aim at training suit. That is decision tree and productive rule.

知识发现，采用SLIQ快速可伸缩算法，分类模型用判定树与产生式规则两种形式描述。

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Knowledge discovery component take SLIQ as basic arithmetic. It provides classification model in two stage forms which aim at training suit. That is decision tree and productive rule.

知识发现，采用SLIQ快速可伸缩算法，分类模型用判定树与产生式规则两种形式描述。

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