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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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></front></TEI><hal api="V3"><titleStmt><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="halauthor">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="halauthor">59021</idno><affiliation ref="#struct-2349"></affiliation></author><editor role="depositor"><persName><forename>Walid</forename><surname>Gaaloul</surname></persName><email>gaaloul@loria.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2005-10-22 10:49:05</date><date type="whenModified">2016-05-19 01:09:15</date><date type="whenReleased">2005-10-22 10:49:05</date><date type="whenProduced">2005-09-06</date></edition><respStmt><resp>contributor</resp><name key="103623"><persName><forename>Walid</forename><surname>Gaaloul</surname></persName><email>gaaloul@loria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">inria-00000482</idno><idno type="halUri">https://hal.inria.fr/inria-00000482</idno><idno type="halBibtex">gaaloul:inria-00000482</idno><idno type="halRefHtml">Third International Conference on Business Process Management - BPM'05, Sep 2005, Nancy, France., 3649, pp.169-185, 2005, Lecture Notes in Computer Science; Business Process Management: 3rd International Conference, BPM 2005, Nancy, France, September 5-8, 2005. Proceedings. <10.1007/11538394_12></idno><idno type="halRef">Third International Conference on Business Process Management - BPM'05, Sep 2005, Nancy, France., 3649, pp.169-185, 2005, Lecture Notes in Computer Science; Business Process Management: 3rd International Conference, BPM 2005, Nancy, France, September 5-8, 2005. Proceedings. <10.1007/11538394_12></idno></publicationStmt><seriesStmt><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno><idno type="stamp" n="LORIA2">Publications du LORIA</idno><idno type="stamp" n="INRIA-NANCY-GRAND-EST">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno><idno type="stamp" n="LORIA-NSS" p="LORIA">Réseaux, systèmes et services</idno><idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno><idno type="stamp" n="INRIA-LORRAINE">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LABO-LORIA-SET" p="LORIA">LABO-LORIA-SET</idno></seriesStmt><notesStmt><note type="commentary">http://www.springerlink.com/</note><note type="audience" n="1">Not set</note><note type="invited" n="0">No</note><note type="popular" n="0">No</note><note type="peer" n="1">Yes</note><note type="proceedings" n="1">Yes</note></notesStmt><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></hal></record>Pour manipuler ce document sous Unix (Dilib)
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