... hidden Alternate Data Streams 交替的数据流 classifying data streams 数据流分类 imbalanced data streams 不平衡数据流 ...
基于16个网页-相关网页
... Data center classification 数据中心的分类 data stream classification 数据流分类 Data Set Classification 数据集分类 ...
基于8个网页-相关网页
Firstly, we analysis the QoS diffserv module, and research the multi-flow classification model of the chIP, detail analysis the data flow classification principle and implementation detail, give the scheme of multi-flow model and market-bucket mechanism.
详细分析了数据流分类模块的原理和细节,阐述了分类模块的实现机制和标记桶实现机制。
参考来源 - 多层交换中基于多层数据流分类的QoS研究·2,447,543篇论文数据，部分数据来源于NoteExpress
对数据流分类分析的常用方法是集成学习。
Ensemble learning is a general method for classifying data streams.
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。
To improve the accuracy and adaptability of the classification of data stream, this paper presented a new method of classification.
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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