Graduate School of Informatics

Cross-organizational process mining aims to extract commonality and differences among the processes that perform the same tasks in different organizations. The results can be used to create and enhance collaboration capabilities among different organizations. However, variabilities across organizations constitute a challenge to deal with. In this study, we propose a framework in order to measure the degree of similarity among the cross-organizational processes and to extract process families as a tree, by adapting sequence alignment technique. In an alignment, matching regions pinpoint a functional inheritance or a major commonality within process behavior for the organizations.

Assoc. Prof. Dr. Nurcan Tunçbağ  has been awarded UNESCO L'OREAL National For Women in Science Award in Life sciences category.