...- Powered by C114 关键词:数据流;概念漂移;分布变化;主动挖掘;被动挖掘 [gap=669]Key words】data stream; concept-drift; distribution change; active mining; passive mining ..
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CVFDT is capable of processing dynamic datasets, coping with concept drift and updating the model catering to incoming data.
CVFDT适合处理流动数据,随数据样本分布的变化更新模型,并能处理概念漂移。
参考来源 - 基于CVFDT的网络流量分类方法·2,447,543篇论文数据,部分数据来源于NoteExpress
以上来源于: WordNet
According to the key problem of concept-drift, tolerance strategy and detection of concept-drift have been applied to adapt the change of data stream.
针对数据流中概念漂移的难题,引入了概念漂移检测和容忍策略来适应数据流分布的变化。
Under the trends in the romanticism, Mr. Brahms didn't drift but formed his unique music creation concept.
在浪漫主义的思潮下,勃拉姆斯并没有随波逐流而是形成了其独特的音乐创作理念。
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。
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