InforLorV4, Main, Merge, bibRecord, 006583

Towards mining structural workflow patterns

Identifieur interne : 006583 ( Main/Merge ); précédent : 006582; suivant : 006584

Towards mining structural workflow patterns

Auteurs : Walid Gaaloul [France] ; Kalim Baïna [Maroc] ; Claude Godart [France]

Source :

Lecture notes in computer science [ 0302-9743 ] ; 2005.

RBID : Pascal:05-0398267

Descripteurs français

Pascal (Inist)
- Intelligence artificielle, Base donnée, Fouille donnée, Collecticiel, Workflow, Système information, Gestion entreprise, Gestion intégrée, Système complexe, Système réactif, Découverte connaissance, Simultanéité informatique, Processus métier, Fichier log, Modélisation, Analyse statistique.
Wicri :
- topic : Intelligence artificielle, Base de données.

English descriptors

KwdEn :
- Artificial intelligence, Business process, Complex system, Concurrency, Data mining, Database, Firm management, Groupware, Information system, Integrated management, Knowledge discovery, Log file, Modeling, Reactive system, Statistical analysis, Workflow.

Abstract

Collaborative information systems are becoming more and more complex, involving numerous interacting business objects within considerable processes. Analysing the interaction structure of those complex systems will enable them to be well understood and controlled. The work described in this paper is a contribution to these problems for workflow based process applications. In fact, we discover workflow patterns from traces of workflow events based on a workflow mining technique. Workflow mining proposes techniques to acquire a workflow model from a workflow log. Mining of workflow patterns is done by a statistical analysis of log-based event. Our approach is characterised by a "local" workflow patterns discovery that allows to cover partial results and a dynamic technique dealing with concurrency.

Links toward previous steps (curation, corpus...)

to stream PascalFrancis, to step Corpus: 000521
to stream PascalFrancis, to step Curation: 000517
to stream PascalFrancis, to step Checkpoint: 000446

Links to Exploration step

Pascal:05-0398267

Le document en format XML

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<term>Firm management</term>
<term>Groupware</term>
<term>Information system</term>
<term>Integrated management</term>
<term>Knowledge discovery</term>
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<term>Modeling</term>
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<term>Gestion intégrée</term>
<term>Système complexe</term>
<term>Système réactif</term>
<term>Découverte connaissance</term>
<term>Simultanéité informatique</term>
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<front><div type="abstract" xml:lang="en">Collaborative information systems are becoming more and more complex, involving numerous interacting business objects within considerable processes. Analysing the interaction structure of those complex systems will enable them to be well understood and controlled. The work described in this paper is a contribution to these problems for workflow based process applications. In fact, we discover workflow patterns from traces of workflow events based on a workflow mining technique. Workflow mining proposes techniques to acquire a workflow model from a workflow log. Mining of workflow patterns is done by a statistical analysis of log-based event. Our approach is characterised by a "local" workflow patterns discovery that allows to cover partial results and a dynamic technique dealing with concurrency.</div>
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Towards mining structural workflow patterns

Towards mining structural workflow patterns

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri