Detection of evolving concepts in non-stationary data streams: A multiple kernel learning approach

作者：

Highlights：

• A novel multi-kernel approach for novel class detection.

• Efficient memory usage for novel class detection.

• A combined multi-kernel approach for novel class detection.

摘要

•A novel multi-kernel approach for novel class detection.•Efficient memory usage for novel class detection.•A combined multi-kernel approach for novel class detection.

论文关键词：Novel class detection,Data stream,Concept drift,Data stream classification

论文评审过程：Received 30 April 2017, Revised 8 August 2017, Accepted 16 August 2017, Available online 24 August 2017, Version of Record 8 September 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.08.033