Mining Workflow Recovery From Event Based Logs
Identifieur interne : 003216 ( Hal/Corpus ); précédent : 003215; suivant : 003217Mining Workflow Recovery From Event Based Logs
Auteurs : Walid Gaaloul ; Claude GodartSource :
English descriptors
Abstract
Handling workflow transactional behavior remains a main problem to ensure a correct and reliable execution. It is obvious that the discovery, and the explanation of this behavior, would enable to better understand and control workflow recovery. Unfortunately, previous workflow mining works have concentrated their efforts on control flow aspects. Although powerful, these proposals are found lacking in functionalities and performance when used to discover workflow transactional behavior. In this paper, we describe mining techniques, which are able to discover a workflow model, and to improve its transactional behavior from event based logs. First, we propose an algorithm to discover workflow patterns. Then, we propose techniques to discover activities transactional dependencies that allow us to mine workflow recovery techniques. Finally, based on this mining step, we use a set of rules to improve workflow design.
Url:
DOI: 10.1007/11538394_12
Links to Exploration step
Hal:inria-00000482Le document en format XML
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<front><div type="abstract" xml:lang="en">Handling workflow transactional behavior remains a main problem to ensure a correct and reliable execution. It is obvious that the discovery, and the explanation of this behavior, would enable to better understand and control workflow recovery. Unfortunately, previous workflow mining works have concentrated their efforts on control flow aspects. Although powerful, these proposals are found lacking in functionalities and performance when used to discover workflow transactional behavior. In this paper, we describe mining techniques, which are able to discover a workflow model, and to improve its transactional behavior from event based logs. First, we propose an algorithm to discover workflow patterns. Then, we propose techniques to discover activities transactional dependencies that allow us to mine workflow recovery techniques. Finally, based on this mining step, we use a set of rules to improve workflow design.</div>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">Mining Workflow Recovery From Event Based Logs</title>
<author role="aut"><persName><forename type="first">Walid</forename>
<surname>Gaaloul</surname>
</persName>
<email>gaaloul@loria.fr</email>
<idno type="halAuthorId">63616</idno>
<affiliation ref="#struct-2349"></affiliation>
</author>
<author role="aut"><persName><forename type="first">Claude</forename>
<surname>Godart</surname>
</persName>
<email>Claude.Godart@loria.fr</email>
<idno type="halAuthorId">59021</idno>
<affiliation ref="#struct-2349"></affiliation>
</author>
</analytic>
<monogr><meeting><title>Third International Conference on Business Process Management - BPM'05</title>
<date type="start">2005-09-06</date>
<settlement>Nancy, France.</settlement>
</meeting>
<imprint><biblScope unit="serie"></biblScope>
<biblScope unit="volume">3649</biblScope>
<biblScope unit="pp">169-185</biblScope>
<date type="datePub">2005-09-06</date>
</imprint>
</monogr>
<idno type="doi">10.1007/11538394_12</idno>
</biblStruct>
</sourceDesc>
<profileDesc><langUsage><language ident="en">English</language>
</langUsage>
<textClass><keywords scheme="author"><term xml:lang="en">workflow mining</term>
<term xml:lang="en">workflow recovery</term>
<term xml:lang="en">transactional workflows</term>
<term xml:lang="en">work-flow patterns</term>
</keywords>
<classCode scheme="halDomain" n="info.info-dl">Computer Science [cs]/Digital Libraries [cs.DL]</classCode>
<classCode scheme="halTypology" n="COMM">Conference papers</classCode>
</textClass>
<abstract xml:lang="en">Handling workflow transactional behavior remains a main problem to ensure a correct and reliable execution. It is obvious that the discovery, and the explanation of this behavior, would enable to better understand and control workflow recovery. Unfortunately, previous workflow mining works have concentrated their efforts on control flow aspects. Although powerful, these proposals are found lacking in functionalities and performance when used to discover workflow transactional behavior. In this paper, we describe mining techniques, which are able to discover a workflow model, and to improve its transactional behavior from event based logs. First, we propose an algorithm to discover workflow patterns. Then, we propose techniques to discover activities transactional dependencies that allow us to mine workflow recovery techniques. Finally, based on this mining step, we use a set of rules to improve workflow design.</abstract>
</profileDesc>
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