Facing the massive volume and high dimensional data, how to build effective and scalable algorithm for data mining is one of research directions of data mining.

面对大规模、高维的数据，如何建立有效的，可扩展的分类数据挖掘算法是数据挖掘研究的重要方向之一。

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Facing the massive volume and high dimensional data how to build effective and scalable clustering algorithm for data mining is one of research directions of data mining.

面对大规模的、高维的数据，如何建立有效、可扩展的的聚类数据挖掘算法是数据挖掘领域的一个研究热点。

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The problem facing many organizations sitting atop massive amounts of data is how to make any sense of it.

许多坐拥海量数据的组织正面临一个问题：如何理解这些数据的真实含义。

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