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Communication Dans Un Congrès Année : 2013

Probabilistic simulation for probabilistic data-aware business processes

Résumé

There is a wide range of new applications that stress the need for business process models that are able to handle imprecise data. This paper studies the underlying modelling and analysis issues. It uses as formal model to describe process behaviours a labelled transitions system in which transitions are guarded by conditions defined over a probabilistic database and presents an approach for testing probabilistic simulation preorder in this context. A complexity analysis reveals that the problem is in 2-exptime, and is exptime-hard, w.r.t. expression complexity while it matches probabilistic query evaluation w.r.t. data-complexity.
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Dates et versions

hal-02599490 , version 1 (16-05-2020)

Identifiants

Citer

H. Li, François Pinet, F. Toumani. Probabilistic simulation for probabilistic data-aware business processes. 25ème journées Bases de Données Avancées (BDA), Oct 2013, Nantes, France. pp.21. ⟨hal-02599490⟩
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