DocumentCode
3038003
Title
Organizational Structure Mining Based on Workflow Logs
Author
Gao, Ang ; Yang, Yang ; Zeng, Ming ; Zhang, Jing-Le ; Wang, Yue-Wei
Author_Institution
Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
fYear
2009
fDate
24-26 July 2009
Firstpage
455
Lastpage
459
Abstract
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.
Keywords
commerce; organisational aspects; default mining; information analysis; organizational entities; organizational structure mining; workflow logs; Authorization; Automatic control; Customer service; Delay; Enterprise resource planning; Information analysis; Information processing; Information security; Intelligent structures; Marine technology; organizational network; organizational structure mining; process mining; workflow logs;
fLanguage
English
Publisher
ieee
Conference_Titel
Business Intelligence and Financial Engineering, 2009. BIFE '09. International Conference on
Conference_Location
Beijing
Print_ISBN
978-0-7695-3705-4
Type
conf
DOI
10.1109/BIFE.2009.109
Filename
5208847
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