Online feature selection system for big data classification based on multi-objective automated negotiation

作者：

Highlights：

• Feature Selection (FS) plays an important role in learning and classification tasks.

• Large-scale online feature selection problems with big data.

• Intelligent online feature selection system; Analysis step in a pattern recognition system.

• Exploring the recent advances of online machine learning techniques and a conflict resolution technique (Automated Negotiation).

• Enhancing the classification performance of ultra-high dimensional databases.

摘要

•Feature Selection (FS) plays an important role in learning and classification tasks.•Large-scale online feature selection problems with big data.•Intelligent online feature selection system; Analysis step in a pattern recognition system.•Exploring the recent advances of online machine learning techniques and a conflict resolution technique (Automated Negotiation).•Enhancing the classification performance of ultra-high dimensional databases.

论文关键词：Feature selection,Online learning,Multi-objective automated negotiation,Trust,Classification,Big data

论文评审过程：Received 2 March 2020, Revised 3 August 2020, Accepted 31 August 2020, Available online 1 September 2020, Version of Record 8 September 2020.

论文官网地址：https://doi.org/10.1016/j.patcog.2020.107629