The week's pick
Reseach Article
Machine Learning Approach for Process Modeling
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 57 - Number 19 |
| Year of Publication: 2012 |
| Authors: P. V. Kumaraguru, S. P. Rajagopalan |
10.5120/9221-3778
|
P. V. Kumaraguru, S. P. Rajagopalan . Machine Learning Approach for Process Modeling. International Journal of Computer Applications. 57, 19 ( November 2012), 12-15. DOI=10.5120/9221-3778
Abstract
All the modern business industries are in the urge to find the ways and means to handle the digital data which are generated automatically for every business transaction. These transactional data are recorded in the temporal database as event logs along with a unique case and event ID for future reference. Every process will leave its foot prints in the event logs, the size of these logs has grown unimaginable huge and triggered many challenges for the researchers. Providing only hardware solutions for storage is not wise enough, instead extracting process models and enhancing it through machine learning techniques is the real challenge of the day. This paper has made an attempt to find the suitable notations for modeling the process and suggests variousnotations for process model which intern leads for process optimization.
References
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- W. M. P van der Aalst A. J. M. M. Weijters, and L. Maruster. 2004, Work flow Mining: Discovering process models from Event Logs. IEEE Transactions on Knowledge and Data Engineering.
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