Video stream has a great number of data and the video data is non-structured data, so video classification has been a difficulty in the field of video analysis for a long time.
视频流的数据量大，又是一种非结构性的数据，因此视频分类一直是视频分析工作中的一个难点。
To improve the accuracy and adaptability of the classification of data stream, this paper presented a new method of classification.
为提高数据流分类的精确性和适应性，提出了一种新的数据流分类方法。
Finally, combining data stream technology, on-line disturbance classification is completed.
最后，结合数据流技术对电能质量扰动的在线识别进行了研究。
Finally, combining data stream technology, on-line disturbance classification is completed.
最后，结合数据流技术对电能质量扰动的在线识别进行了研究。
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