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
Link To Document :
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