Associative learning on imbalanced environments: An empirical study

作者：

Highlights：

• We evaluate the performance of associative memories on 31 imbalanced data sets.

• Associative memories are compared to seven classifiers using four re-sampling methods.

• The associative model is among the best classifiers, especially under high imbalance.

摘要

•We evaluate the performance of associative memories on 31 imbalanced data sets.•Associative memories are compared to seven classifiers using four re-sampling methods.•The associative model is among the best classifiers, especially under high imbalance.

论文关键词：Associative memory,Class imbalance,Resampling

论文评审过程：Received 21 March 2015, Revised 30 September 2015, Accepted 1 October 2015, Available online 19 October 2015, Version of Record 24 February 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.10.001