Pattern on demand in transactional distributed databases

作者：

Highlights：

• The first pattern sampling method in distributed databases.

• Low communication cost of pattern on demand paradigm.

• Efficiency of the method evaluated on varied UCI benchmarks and interestingness measures.

• A use case on outlier detection in the Semantic Web.

摘要

•The first pattern sampling method in distributed databases.•Low communication cost of pattern on demand paradigm.•Efficiency of the method evaluated on varied UCI benchmarks and interestingness measures.•A use case on outlier detection in the Semantic Web.

论文关键词：Pattern mining,Knowledge base,Pattern on Demand,Pattern sampling,Outlier detection

论文评审过程：Received 2 December 2020, Revised 20 August 2021, Accepted 9 September 2021, Available online 14 October 2021, Version of Record 23 November 2021.

论文官网地址：https://doi.org/10.1016/j.is.2021.101908