Local neighborhood rough set

作者：

Highlights：

• Local neighborhood rough set (LNRS) is proposed.

• The LNRS model can handle big data with numeric attributes and limited labels.

• The corresponding concept approximation and attribute reduction algorithms have linear time complexity.

• The study provides a bridge between neighborhood rough set and local rough set.

摘要

•Local neighborhood rough set (LNRS) is proposed.•The LNRS model can handle big data with numeric attributes and limited labels.•The corresponding concept approximation and attribute reduction algorithms have linear time complexity.•The study provides a bridge between neighborhood rough set and local rough set.

论文关键词：Rough set,Local neighborhood rough set,Concept approximation,Attribute reduction,Limited labeled data,00-01,99-00

论文评审过程：Received 28 November 2017, Revised 18 April 2018, Accepted 19 April 2018, Available online 22 April 2018, Version of Record 11 May 2018.

论文官网地址：https://doi.org/10.1016/j.knosys.2018.04.023