Mining organizational structure from workflow logs

Workflow mining is a concept in early era, it analyzes the workflow log in the control flow dimensions, to mining the actual process model, but ignores relationships among executors in workflow, hence it fails to effectively excavate the workflow log to find the implicit structure. In this paper, the organizational dimensions of workflow log will be the main focuses to be researched. The paper introduces executor similarity metrics and grid clustering to demonstrate the methods of the organizational structure mining based on executor similarity and organization mining based on grid clustering. Both of them are effective to extract the actual organizational structure from the workflow logs.