Accuracy weighted diversity-based online boosting

作者：

Highlights：

• AWDOB: a new ensemble method inspired on ADOB for data stream.

• A new weighting scheme is defined for the calculation of current expert weight.

• Experiments were run on 10 real world and 32 artificial data stream datasets.

• AWDOB presented overall best accuracy result when compared with other methods.

摘要

•AWDOB: a new ensemble method inspired on ADOB for data stream.•A new weighting scheme is defined for the calculation of current expert weight.•Experiments were run on 10 real world and 32 artificial data stream datasets.•AWDOB presented overall best accuracy result when compared with other methods.

论文关键词：Data stream,Concept drift,Online boosting,Diversity

论文评审过程：Received 16 December 2019, Revised 21 March 2020, Accepted 4 July 2020, Available online 17 July 2020, Version of Record 2 August 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113723