Automated discovery of declarative process models with correlated data conditions

作者：

Highlights：

• We present two approaches for discovering data-aware declarative process models.

• The first approach combines clustering and rule mining techniques.

• The second approach relies on redescription mining algorithms.

• We compare these approaches accordingly to rediscovery accuracy and scalability criteria.

摘要

•We present two approaches for discovering data-aware declarative process models.•The first approach combines clustering and rule mining techniques.•The second approach relies on redescription mining algorithms.•We compare these approaches accordingly to rediscovery accuracy and scalability criteria.

论文关键词：Process mining,Automated process discovery,Declarative process model,Rule mining

论文评审过程：Received 15 October 2019, Revised 3 December 2019, Accepted 4 December 2019, Available online 9 December 2019, Version of Record 23 December 2019.

论文官网地址：https://doi.org/10.1016/j.is.2019.101482