Parallel extraction of association rules from genomics data

作者：

Highlights：

• PARES is a parallel tool for analyzing DMET SNP datasets.

• PARES is fully integrated into the DMET-Analyzer workflow.

• PARES extracts association rules from DMET SNP datasets.

• PARES implements a novel and efficient parallel implementation of FP-Growth.

• PARES outperforms current state of the art association rule mining methods.

摘要

•PARES is a parallel tool for analyzing DMET SNP datasets.•PARES is fully integrated into the DMET-Analyzer workflow.•PARES extracts association rules from DMET SNP datasets.•PARES implements a novel and efficient parallel implementation of FP-Growth.•PARES outperforms current state of the art association rule mining methods.

论文关键词：Frequent Pattern Growth algorithm,Association rules mining,Data mining,Genomics,Parallel computing

论文评审过程：Received 28 November 2016, Revised 5 September 2017, Accepted 15 September 2017, Available online 5 October 2017, Version of Record 5 February 2019.

论文官网地址：https://doi.org/10.1016/j.amc.2017.09.026