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WorkflowMiner : An infrastructure for Mining Workflow Patterns

Identifieur interne : 006930 ( Main/Merge ); précédent : 006929; suivant : 006931

WorkflowMiner : An infrastructure for Mining Workflow Patterns

Auteurs : Walid Gaaloul [France] ; Sadek Alaoui [Maroc] ; Karim Baïna [Maroc] ; Claude Godart [France]

Source :

RBID : Hal:inria-00000488

English descriptors

Abstract

Collaborative applications include considerable processes that are either implicit, or integrate existing processes. The discovery and the explanation of these processes are becoming increasingly important. This paper is a contribution to these problems. Generally, workflow mining proposes techniques to acquire a workflow model from a workflow log. In this paper, we present a new workflow mining technique to discover workflow patterns. This technique combines complementarily an algorithmic and a statistical analysis technique. This combination can deal with some ambiguities that the single use of the statistical analysis technique cannot resolve.

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Hal:inria-00000488

Le document en format XML

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<div type="abstract" xml:lang="en">Collaborative applications include considerable processes that are either implicit, or integrate existing processes. The discovery and the explanation of these processes are becoming increasingly important. This paper is a contribution to these problems. Generally, workflow mining proposes techniques to acquire a workflow model from a workflow log. In this paper, we present a new workflow mining technique to discover workflow patterns. This technique combines complementarily an algorithmic and a statistical analysis technique. This combination can deal with some ambiguities that the single use of the statistical analysis technique cannot resolve.</div>
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