Improving the quality of the Heuristics Miner in ProM 6.2

作者：

Highlights：

• The Heuristics Miner in ProM 6.2 demonstrates validity and completeness anomalies.

• Construction of an incorrect semantic process model.

• Low quality dependency heuristics for short loops of length one and two.

• Counterintuitive use of the relative to best threshold to accept strong connections.

• We report the Updated Heuristics Miner with a higher validity and completeness.

摘要

•The Heuristics Miner in ProM 6.2 demonstrates validity and completeness anomalies.•Construction of an incorrect semantic process model.•Low quality dependency heuristics for short loops of length one and two.•Counterintuitive use of the relative to best threshold to accept strong connections.•We report the Updated Heuristics Miner with a higher validity and completeness.

论文关键词：Knowledge discovery,Process mining,Heuristics Miner,Quality,Validity,Completeness

论文评审过程：Available online 2 July 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.05.055