A propositionalization method of multi-relational data based on Grammar-Guided Genetic Programming

作者：

Highlights：

• Grammar-Guided Genetic Programming is used to generate complex attributes.

• Words coming from a Bag-of-Words representation are combined using Boolean operators.

• Simple-instance and multiple-instance propositionalization were analyzed.

• A considerable reduction in the dimensionality of the resulting datasets is achieved.

摘要

•Grammar-Guided Genetic Programming is used to generate complex attributes.•Words coming from a Bag-of-Words representation are combined using Boolean operators.•Simple-instance and multiple-instance propositionalization were analyzed.•A considerable reduction in the dimensionality of the resulting datasets is achieved.

论文关键词：G3Prop,Multi-Relational Data Mining,Propositionalization,Bag-of-Words,Grammar-Guided Genetic Programming

论文评审过程：Received 3 June 2020, Revised 12 October 2020, Accepted 5 November 2020, Available online 18 November 2020, Version of Record 24 January 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114263