An Alignment Method for Multi-attributes Event Logs

Abstract

Alignment is an important part in process mining. And many methods are proposed to discuss how to align a process model and its event logs. But it is coarse in process alignment when each activity has only its name attribute. To deal with alignment of multi-attributes activities, a knowledge space is introduced. And a move, an alignment and an optimal alignment are all redefined to differentiate the degree of each trace fit its model. Meanwhile, a new optimal alignment algorithm and an example are given to illustrate it.