DocumentCode
1857586
Title
Notice of Retraction
Relation Networks Mining Based on Workflow Logs
Author
Ang Gao ; Yang Yang ; Yue-Wei Wang
Author_Institution
Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
fYear
2010
fDate
22-24 Jan. 2010
Firstpage
111
Lastpage
115
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
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. Generate relation networks from the workflow logs by applying the handover of work metric. By applying these methods, we can construct the corresponding relation networks which reflects the organizational entities and originators involved in the workflow process and corrects presented the organizational structure. In the end of the paper, we give an example to explain it.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
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. Generate relation networks from the workflow logs by applying the handover of work metric. By applying these methods, we can construct the corresponding relation networks which reflects the organizational entities and originators 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
data mining; organisational aspects; workflow management software; organizational setting; relation networks mining; workflow logs; workflow process; Authorization; Automatic control; Customer service; Delay; Electronic learning; Enterprise resource planning; Information analysis; Information processing; Information security; Marine technology; process mining; relation networks; relation networks mining; workflow logs;
fLanguage
English
Publisher
ieee
Conference_Titel
e-Education, e-Business, e-Management, and e-Learning, 2010. IC4E '10. International Conference on
Conference_Location
Sanya
Print_ISBN
978-1-4244-5680-2
Type
conf
DOI
10.1109/IC4E.2010.39
Filename
5432375
Link To Document