Efficient strategies for parallel mining class association rules

作者：

Highlights：

• Three strategies for parallel mining CARs on the multi-core processor architecture.

• Unlike other methods, the proposed method eliminates the synchronization among nodes.

• Data replication and data transfer among processing units are also avoided.

• The proposed algorithm is proven to be more efficient than existing ones in both theory and experiment.

摘要

•Three strategies for parallel mining CARs on the multi-core processor architecture.•Unlike other methods, the proposed method eliminates the synchronization among nodes.•Data replication and data transfer among processing units are also avoided.•The proposed algorithm is proven to be more efficient than existing ones in both theory and experiment.

论文关键词：Associative classification,Class association rule mining,Parallel computing,Data mining,Multi-core processor

论文评审过程：Available online 14 February 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.01.038