Data streams are continuous, fast, unlimited, unknown, so traditional technology of data mining is not suitable to data stream mining. Analysis and mining data stream has been a popular research.
数据流的连续、快速、无限、未知的特点决定了传统的数据挖掘技术已经不适合数据流挖掘，分析和挖掘数据流已经成为热点研究问题。
Concept drift, as a difficult point in the field of data stream mining, is generated with the accompany of time-varying data streams.
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。
The tracking of drifting concept from data streams has recently become one of hot spots in data mining.
数据流上的漂移概念发现已成为数据挖掘领域的研究热点之一。
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