The similarity-aware relational division database operator with case studies in agriculture and genetics

作者：

Highlights：

• The relational division database operator is not suited for complex data analysis.

• A novel similarity-aware division operator is proposed to process complex data.

• The similarity-aware division is formally defined.

• Fast and scalable algorithms for the similarity-aware division are presented.

• The new division operator is validated in case studies in Agriculture and Genetics.

摘要

•The relational division database operator is not suited for complex data analysis.•A novel similarity-aware division operator is proposed to process complex data.•The similarity-aware division is formally defined.•Fast and scalable algorithms for the similarity-aware division are presented.•The new division operator is validated in case studies in Agriculture and Genetics.

论文关键词：Database,Relational division,Similarity comparison,Complex data,Remote sensing images,Genetic data

论文评审过程：Received 23 June 2017, Revised 9 October 2018, Accepted 7 January 2019, Available online 16 January 2019, Version of Record 1 February 2019.

论文官网地址：https://doi.org/10.1016/j.is.2019.01.002