By Marcello Leida, Basim Majeed (auth.), Philippe Cudre-Mauroux, Paolo Ceravolo, Dragan Gašević (eds.)
ISBN-10: 3642409180
ISBN-13: 9783642409189
ISBN-10: 3642409199
ISBN-13: 9783642409196
This booklet constitutes the completely refereed court cases of the second one foreign Symposium on Data-Driven technique Discovery and research held in Campione d'Italia, Italy, in June 2012.
The six revised complete papers have been rigorously chosen from 17 submissions. to enhance the standard of the contributions the symposium fostered the dialogue through the presentation, giving authors the chance to enhance their paintings extending the awarded effects. the chosen papers conceal issues spanning from theoretical matters on the topic of technique illustration, discovery and research to functional and operational reviews in strategy discovery and analysis.
Read Online or Download Data-Driven Process Discovery and Analysis: Second IFIP WG 2.6, 2.12 International Symposium, SIMPDA 2012, Campione d’Italia, Italy, June 18-20, 2012, Revised Selected Papers PDF
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Additional resources for Data-Driven Process Discovery and Analysis: Second IFIP WG 2.6, 2.12 International Symposium, SIMPDA 2012, Campione d’Italia, Italy, June 18-20, 2012, Revised Selected Papers
Sample text
Finally, Section 7 concludes the paper. 2 Related Work Automatically improving or correcting process models using different sources of information is an active research area. Li et. al. [15] discuss how a reference process model can be discovered from a collection of process model variants. In their heuristic approach they consider the structural distance of the discovered reference model to the original reference model as well as the structural distance to the process variants. By balancing these two forces they make certain changes to the original reference model to make it more similar to the collection of process model variants.
Phase II: Project Understanding. The goal of this phase is to gain consensus over the problem to be solved, the scope of the project and the desired goals as stated in terms of the business process indicators. – Phase III: Business Process Redesign (to-be). This phase is intended to develop and simulate the corresponding business process improvement alternatives. 1 Some data about this case study has been modified forprivacy reasons. 30 S. Aguirre, C. Parra, and J. Alvarado – Phase IV: Implementation.
Phase: Implementation At this stage, the selected alternatives are implemented to improve the business process. For this case study, scenario 3 presented in Table 9 allows decreasing the cycle time to 35 minutes, thus constituting the alternative that is going to be recommended to the University for Implementation. 2 Lessons Learned One of the key success factors for the implementation of the proposed methodology is the involvement of the people (users) playing a role in the actual execution of the business process.
Data-Driven Process Discovery and Analysis: Second IFIP WG 2.6, 2.12 International Symposium, SIMPDA 2012, Campione d’Italia, Italy, June 18-20, 2012, Revised Selected Papers by Marcello Leida, Basim Majeed (auth.), Philippe Cudre-Mauroux, Paolo Ceravolo, Dragan Gašević (eds.)
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