数据流集成分类算法综述

Summarization of data stream ensemble classification algorithm

详细介绍了国内外集成分类算法,对集成分类算法的两个部分(基分类器组合和动态更新集成模型)进行了详细综述,明确区分不同集成算法的优缺点,对比算法和实验数据集。并且提出进一步的研究方向和考虑的解决办法。

This paper introduced the ensemble classification algorithm at home and abroad in detail.It reviewed the two parts of the ensemble classification algorithm(base classifier combination and dynamic update ensemble model)in detail,and clearly distinguished the advantages and disadvantages of different integration algorithms,comparison algorithm and experimental data set.The paper proposed further research directions and considerations.