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Towards comprehensive support for organizational mining. Presenter : Yu-hui Huang Authors : Minseok Song , Wil M.P. van der Aalst. 國立雲林科技大學 National Yunlin University of Science and Technology. DSS 2008. Outline. Motivation Objective Methodology Experiment Conclusion. Motivation.
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Towards comprehensive support for organizational mining Presenter : Yu-hui Huang Authors : Minseok Song , Wil M.P. van der Aalst 國立雲林科技大學 National Yunlin University of Science and Technology DSS 2008
Outline • Motivation • Objective • Methodology • Experiment • Conclusion
Motivation • Today event logs are widely available and growing . • we can constructing a process flow by analyze the even log and improve it.
Objective • The primary goal of process mining is to extract knowledge from these logs and use it for a detailed analysis of reality • To discover organizational models and social networks from the process log.
Methodology • Process mining:it is to extract information from event logs.
Methodology • Process model: • Organization model:
Methodology • Process log:
Methodology • Organizational model markup language:
Methodology • Organizational mining: (1)organizational model mining • Task-base: similar skills and knowledge to perform the tasks • Default mining: • Metrics based: • Agglomerative Hierarchical Clustering (AHC): • Case-base: different skills and work together • Metrics based on joint cases: (2)social network analysis (3)information flows
Methodology • Metrics based (task-base):
Methodology • AHC (task-base ):
Methodology • Metrics based on joint cases :
Methodology Information flows between organizational entities • Social network analysis:
Conclusion • To evaluate the organizational model mining results , conformance test methods should be developed. • We can apply non-disjoint clustering methods to reflect an organization in which originators play multiple roles. 17
Comments • Advantage • … • Drawback • …. • Application • …