Incremental mining maximal frequent patterns from univariate uncertain data

作者：

Highlights：

• Proposing the first approach designed to incremental mining maximal frequent patterns from univariate uncertain database.

• Introducing a tree-traversing strategy which is more efficient than the compared method.

• Developed a two-level index structure, which is more efficient to trace the mining process.

摘要

•Proposing the first approach designed to incremental mining maximal frequent patterns from univariate uncertain database.•Introducing a tree-traversing strategy which is more efficient than the compared method.•Developed a two-level index structure, which is more efficient to trace the mining process.

论文关键词：Frequent pattern mining,Incremental mining,IMU2P-Miner,Maximal frequent pattern mining,MU2P-Miner,Univariate uncertain data

论文评审过程：Received 25 August 2017, Revised 30 March 2018, Accepted 1 April 2018, Available online 10 April 2018, Version of Record 12 May 2018.

论文官网地址：https://doi.org/10.1016/j.knosys.2018.04.001