By Marcello Leida, Basim Majeed (auth.), Philippe Cudre-Mauroux, Paolo Ceravolo, Dragan Gašević (eds.)

This booklet constitutes the completely refereed court cases of the second one overseas Symposium on Data-Driven method 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 throughout the presentation, giving authors the chance to enhance their paintings extending the offered effects. the chosen papers hide themes spanning from theoretical concerns concerning method illustration, discovery and research to sensible and operational reports in strategy discovery and analysis.

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Additional info 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

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The unsound process model, whereby ‘badness’ indicates the ability of a solution to produce traces that lead to unsound behavior. The approach uses simulated annealing to simultaneously minimize all three dimensions. The edits applied to the process model are aimed to correct the model rather than to balance the five different forces. Detecting deviations of a process model from the observed behavior has been researched, among others, by Adriansyah et. al. [2,4]. Given a process model and an event log, deviations are expressed in the form of skipped activities (activities that should be performed according to the model, but do not occur in the log) and inserted activities (activities that are not supposed to happen according to the model, but that occur in the log).

40 S. Aguirre, C. Parra, and J. Alvarado Fig. 10. 72 days, as shown in Table 7. Table 7. 72 Expected Average Time (Days) 30 Process Improvement Alternatives The process improvement alternatives were defined to overcome the issues found in the as-is analysis phase. Said alternatives are shown in table 8. Table 8. Process improvement alternatives Process improvement alternative 1. Removing the purchase order approval Out of the 8,987 analyzed cases, no process. purchase order was rejected, so this control can be eliminated, the responsibility lying on the purchase requisition approval process.

Tools -Statistical Analysis (mean times, standard deviation). -SPSS® statistical package -Disco® software 8. Data mining Data mining techniques are used to -Cluster analysis, Analysis extract knowledge from process decision trees, execution. Techniques such as decision social network trees are used to discover those variables analysis. that have greater incidence on process -SPSS® delays. Social Network is useful for statistical analyzing role interactions between the package people executing the process, with the aim of finding either functional loops or key roles within the process 9.

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Data-Driven Process Discovery and Analysis: Second IFIP WG by Marcello Leida, Basim Majeed (auth.), Philippe
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