Classified data mining is the most active, most mature research direction of data mining, and classification algorithm is an important technology.
分类挖掘是数据挖掘中最活跃、最成熟的研究方向,分类算法又是其中涉及到的关键技术。
参考来源 - 基于粗糙集的决策树算法研究与改进·2,447,543篇论文数据，部分数据来源于NoteExpress
研究如何利用分类挖掘来进行网关转发性能的判定。
This paper studies on using Class Mining for decision-making of gateway transmitting performance.
针对丙酮精制过程的特点，提出一种基于神经网络的丙酮产品质量分类挖掘方法。
Considering the features of acetone refining process, a strategy of neural network based data mining for product quality classification is proposed.
概念漂移是数据流分类挖掘中的一个难点，它是伴随着数据流的时变性而产生的。
Concept drift, as a difficult point in the field of data stream mining, is generated with the accompany of time-varying data streams.
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