Titlebook: Business Process Management; 9th International Co Stefanie Rinderle-Ma,Farouk Toumani,Karsten Wolf Conference proceedings 2011 Springer-Ver

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Medical Business Law and Regulations,s. In this paper, we introduce a proper metric to quantify process similarity based on behavioral profiles. It is grounded in the Jaccard coefficient and leverages behavioral relations between pairs of process model activities. The metric is successfully evaluated towards its approximation of human similarity assessment.

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Medical Business Law and Regulations,an be directly used in a complex event processing environment. Furthermore, we also introduce an approach to filter and aggregate query results to provide compact feedback on deviations. Our techniques is applied in a case study within the IT service industry.

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Conference proceedings 2011 France, in August/September 2011.The volume contains 22 revised full research papers carefully reviewed and selected from 157 submissions, as well as 5 industrial track papers and abstracts of three invited talkes. The papers address innovative research of highest quality from computer science, man

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Business Process Management978-3-642-23059-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Learning from Formal Consultations,amous Turing Award Lecture (and paper). I will propose that or rather ask whether programming can be made a lot closer to the way we humans think about dynamics, and the way we somehow manage to get others (e.g., our children, our employees, etc.) to do what we have in mind. Technically, the questio

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Michael E. DeBakey M.D.,J. Willis Hurst M.D.eness. Process-centric formalisms focus on control flow while under-specifying the underlying data and its manipulations by the process tasks, often abstracting them away completely. In contrast, data-aware formalisms treat data as first-class citizens. A notable exponent of this class is the . pion

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Formal Courses and Conferences, inflexibility of monitoring solutions and reacting to process information on time. We review the current state of the art of business process management and analytics and put it in relation to complex event processing to explore process data. Following the tri-partition in complex event processing

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