Survey on data stream classification technologies
数据流分类技术研究综述*

The high speed, continuous and virtual infinite, and time-changing inherent features of streaming data invalidate the traditional technologies of data analysis and data mining, or motivate the need for evolving themselves. This paper put emphasis on data stream classification, proposed a few critical issues accompanying with data stream classification, surveyed typical classification approaches. Furthermore,presented a new framework exploiting active learning and semi-supervised learning to attack the disadvantages of current technologies.