So, a new sample-based classification algorithm, PSS, is proposed. AS, HS and VS algorithms which are parallel algorithms of PSS are presented also.

因此提出一种新的基于抽样的数据分类算法PSS，并提出三种PSS并行化算法AS，HS和VS算法。

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The test results show that the PSS algorithm as well as its parallel algorithms are high efficient when they are used in classification of massive database.

实验结果表明，PSS算法及其并行化算法是一种高效的数据分类算法，尤其适用于解决海量数据库中的数据分类问题。

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This paper introduces two construction algorithms of Classification decision tree based on parallel algorithm, and analyzes applicability.

本文重点介绍了两种基于并行算法的分类决策树的构造算法，并对它们的适用性及特点作了分析。

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