Process mining method based on a mixed event log

The invention discloses a process mining method based on a mixed event log, which takes a mixed event log including a point event and an interval event as an input, and takes a mining correct processmodel as an output. First, mining low-level event relationships from each event sequence in the log; then, based on all the low-level event relations, the event relations on the whole log level are deduced; finally, the model generation algorithm based on log-level event relation in the alpha algorithm is called to obtain the Petri net procedure. The invention can effectively mine the correct process model from the locally complete mixed event log, and compared with the existing mining method, is applicable to a wide range and is generally applicable to point event logs, interval event logs and mixed event logs. 本发明公开了种基于混合型事件日志的过程挖掘方法，以包含点事件和区间事件的混合型事件日志为输入，以挖掘出的正确的过程模型作为输出；首先从日志中的每条事件序列中挖掘低层次的事件关系；之后，基于所有的低层次事件关系推导出整个日志层面上的事件关系；最后，调用α算法中基于日志层事件关系的模型生成算法获得Petri网过程。本发明能从局部完备的混合型事件日志中有效挖掘出正确的过程模型，相对于已有挖掘方法，本发明适用范围广