实验证明了这种算法在科学数据挖掘中是很有效的。

The experiment results show that the algorithm is very efficient in the scientific data mining.

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本文主要研究适合于大规模科学数据挖掘的分类和聚类的理论和应用。

The main point of this paper is to research the theories and applications of classifying and clustering which is suitable for large-scale science data mining.

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现在，犹他大学的计算机科学家设计出了一种新的方法，能简单快速地实施“数据挖掘”或提取与分析巨量数据。

Now, a University of Utah computer scientist has devised a new method for simpler, faster "data mining," or extracting and analyzing massive amounts of such data.

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