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Titlebook: Business Process Management; 10th International C Alistair Barros,Avigdor Gal,Ekkart Kindler Conference proceedings 2012 Springer-Verlag Be

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A. Cavallini,L. Natali,I. Castorena Sanchezog. Based on this information, we decompose the log into several sublogs of non-fitting subtraces. For each sublog, a subprocess is derived that is then added to the original model at the appropriate location. The approach is implemented in the process mining toolkit ProM and has been validated on logs and models from Dutch municipalities.
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Event-Driven Manufacturing Process Management Approachstandardized modeling language. Through this notation a standardized definition of business logic for monitoring and controlling manufacturing operations can be developed, representing the knowledge to apply in order to increase process performance.
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Conference proceedings 2012ember 2012. The 17 regular papers and 7 short papers included in this volume were carefully reviewed and selected from 126 submissions. The book also features two keynote lectures which were given at the conference. The papers are organized in topical sections named: process quality; conformance and
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Alistair Barros,Avigdor Gal,Ekkart KindlerUp-to-date results.Fast-track conference proceedings.State-of-the-art research
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Business Process Management978-3-642-32885-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
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https://doi.org/10.1007/978-3-642-73617-9verage on any predefined model. To avoid the noisy divergence of ad-hoc executions of business processes, we propose a recommendation algorithm that promotes convergent behavior through a goal-driven strategy based on data instead of activity control flow.
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