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。
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。
As one of the kernel techniques in the data mining, it is necessary to summarize the research status of classification algorithm.
对数据挖掘中的核心技术分类算法的内容及其研究现状进行综述。
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