关键词: 过程挖掘, 过程发现, 概念漂移, 变更检测

Abstract: To detect change points from event logs based on relation frequency,an approach was proposed with concept drift phenomenon in process mining.Event logs could be characterized by relationships between activities and transformed into a relation matrix.By analyzing the variation of activity relations,candidate change points were detected.The final result was calculated from candidate change points via DBSCAN.Experiments on synthetic logs showed that the proposed approach possessed high accuracy,low error and good time performance.

Key words: process mining, process discovery, concept drift, change detection