Artificial datasets for hierarchical classification

作者：

Highlights：

• A novel method for generating hierarchical artificial datasets is proposed.

• Several hierarchical datasets of tree and directed acyclic graph type are generated.

• Hierarchical classification methods are evaluated with the artificial datasets.

• The datasets and the program to generate them are made available to the community.

摘要

•A novel method for generating hierarchical artificial datasets is proposed.•Several hierarchical datasets of tree and directed acyclic graph type are generated.•Hierarchical classification methods are evaluated with the artificial datasets.•The datasets and the program to generate them are made available to the community.

论文关键词：Artificial datasets,Hierarchical classification,Evaluation

论文评审过程：Received 24 September 2020, Revised 18 January 2021, Accepted 13 May 2021, Available online 27 May 2021, Version of Record 8 June 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115218