Frequent pattern mining is one basic research of data stream mining.
数据流频繁模式挖掘是数据流挖掘的基础研究之一。
With occurrences of many related applications, recently frequent episodes mining in event stream has become a hot research topic in data mining field.
在事件流上挖掘频繁片断已经成为近来研究的热点，在很多应用中起到重要作用。
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。
Data stream mining is a new research aspect of data mining. It has be come a useful tool for many fields.
流数据挖掘是数据挖掘的一个新的研究方向，已逐渐成为许多领域的有用工具。
Finally, main applications and future research directions of data stream mining are pu...
最后，举例说明了数据流挖掘的应用，并展望了数据流挖掘未来的研究方向。
Finally, main applications and future research directions of data stream mining are pu...
最后，举例说明了数据流挖掘的应用，并展望了数据流挖掘未来的研究方向。
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