Mining non-redundant distinguishing subsequence for trip destination forecasting
作者：
Highlights：
• Presenting mining contrast sequential rules.
• Defining similar rules as any two rules that have the same consecutive distinct items.
• Proposing an efficient algorithm to mine non-redundant distinguishing subsequence rules.
• Proposing a framework to forecast the destinations from its partial trajectories.
摘要
•Presenting mining contrast sequential rules.•Defining similar rules as any two rules that have the same consecutive distinct items.•Proposing an efficient algorithm to mine non-redundant distinguishing subsequence rules.•Proposing a framework to forecast the destinations from its partial trajectories.
论文关键词：Multi-class classification,Non-redundant rule,Contrast-rule,Destination forecasting
论文评审过程：Received 13 December 2019, Revised 11 October 2020, Accepted 12 October 2020, Available online 23 October 2020, Version of Record 28 October 2020.
论文官网地址：https://doi.org/10.1016/j.knosys.2020.106519
