TopPI: An efficient algorithm for item-centric mining

作者：

Highlights：

• A top-k item centric approach for mining long-tailed datasets.

• TopPI, an algorithm for efficient mining on multi-core and distributed systems.

• Evaluation on large-scale retail and web data.

摘要

Highlights•A top-k item centric approach for mining long-tailed datasets.•TopPI, an algorithm for efficient mining on multi-core and distributed systems.•Evaluation on large-scale retail and web data.

论文关键词：Frequent itemset mining,Top-k,Parallel data mining,MapReduce

论文评审过程：Received 21 August 2016, Revised 2 September 2016, Accepted 5 September 2016, Available online 21 September 2016, Version of Record 3 November 2016.

论文官网地址：https://doi.org/10.1016/j.is.2016.09.001