Discovering utility-based episode rules in complex event sequences
作者：
Highlights：
• Our work is the first one that aims at mining high utility-based episode rules.
• We propose an efficient algorithm UBER-Mine for mining high-utility episode rules.
• A compact tree structure is proposed to reduce search space in the mining process.
• Experimental results show that our proposed algorithms have good scalability.
• Our method can be used for real-world applications including stock investment.
摘要
•Our work is the first one that aims at mining high utility-based episode rules.•We propose an efficient algorithm UBER-Mine for mining high-utility episode rules.•A compact tree structure is proposed to reduce search space in the mining process.•Experimental results show that our proposed algorithms have good scalability.•Our method can be used for real-world applications including stock investment.
论文关键词：Utility mining,Episode rule mining,High utility episode rules,Complex event sequences
论文评审过程：Available online 25 February 2015.
论文官网地址：https://doi.org/10.1016/j.eswa.2015.02.022
