Organizational Structure Mining Based on Workflow Logs

摘要：

In order to mining the organizational setting and interactions among coworkers from workflow logs, we define metrics to establish the relationships among originators by analyzing the information in the workflow logs. Three methods for mining organizational structure from workflow logs are presented in this paper, default mining, mining based on the similarity of activities and mining based on the similarity of cases. By applying these methods, we can construct the corresponding organizational network which reflects the organizational entities involved in the workflow process and corrects presented the organizational structure. In the end of the paper, we give an example to explain it.

关键词： workflow logs organizational structure mining organizational network process mining

作者: Ang Gao Yang Yang Ming Zeng Jing-Le Zhang Yue-Wei Wang

作者单位: School of Information Engineering University of Science and Technology Beijing, Beijing 100083, Chin Public Security Marine Police Academy, Ningbo 315801, China

会议类型: 国际会议

会议名称: The Second International Conference on Business Intelligence and Financial Engineering(BIFE 2009)(第二届商务智能与金融工程国际会议)

会议地点: 北京

会议语种:英文

页码: 455-459

在线出版日期: 2009-07-24（万方平台首次上网日期，不代表论文的发表时间）