DEER: Distant and Essential Episode Rules for early prediction

作者：

Highlights：

• An algorithm of episode rules mining in an event sequence for early prediction.

• The extracted rules have a temporally distant consequent and a minimal antecedent.

• The algorithm outperforms traditional algorithms in running time and scalability.

摘要

•An algorithm of episode rules mining in an event sequence for early prediction.•The extracted rules have a temporally distant consequent and a minimal antecedent.•The algorithm outperforms traditional algorithms in running time and scalability.

论文关键词：Data mining,Event sequence mining,Episode rules mining,Events prediction,Early prediction

论文评审过程：Received 29 June 2017, Revised 27 September 2017, Accepted 14 October 2017, Available online 16 October 2017, Version of Record 23 October 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.10.035