Mining Workflow Patterns through Event-data Analysis
Identifieur interne : 003215 ( Hal/Corpus ); précédent : 003214; suivant : 003216Mining Workflow Patterns through Event-data Analysis
Auteurs : Walid Gaaloul ; Sadek Alaoui ; Karim Baïna ; Claude GodartSource :
English descriptors
Abstract
It is obvious to notice that in collaborative applications, considerable processes are either implicit, or integrate existing processes. The discovery, and the explanation of these processes are a hot research topic. The work described in 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 technique 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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DOI: 10.1109/SAINTW.2005.1620017
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Hal:inria-00000484Le document en format XML
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The discovery, and the explanation of these processes are a hot research topic. The work described in 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 technique and a statistical analysis technique. This combination can deal with some ambiguities that the single use of the statistical analysis technique cannot resolve.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="en">Mining Workflow Patterns through Event-data Analysis</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">Sadek</forename><surname>Alaoui</surname></persName><email></email><idno type="halauthor">63618</idno><affiliation ref="#struct-40602"></affiliation></author><author role="aut"><persName><forename type="first">Karim</forename><surname>Baïna</surname></persName><email></email><idno type="halauthor">63619</idno><affiliation ref="#struct-40602"></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 11:15:01</date><date type="whenModified">2016-05-19 01:09:15</date><date type="whenReleased">2005-10-22 11:15:01</date><date type="whenProduced">2005-01-31</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-00000484</idno><idno type="halUri">https://hal.inria.fr/inria-00000484</idno><idno type="halBibtex">gaaloul:inria-00000484</idno><idno type="halRefHtml">International Symposium on Applications and the Internet - SAINT 2005. Workshop 6: Teamware: Supporting Scalebable Virtual Teams in Multi-organizational Settings, Jan 2005, Trento, Italy, IEEE, pp.226- 229, 2005, Applications and the Internet Workshops, 2005. Saint Workshops 2005. The 2005 Symposium on. <10.1109/SAINTW.2005.1620017></idno><idno type="halRef">International Symposium on Applications and the Internet - SAINT 2005. Workshop 6: Teamware: Supporting Scalebable Virtual Teams in Multi-organizational Settings, Jan 2005, Trento, Italy, IEEE, pp.226- 229, 2005, Applications and the Internet Workshops, 2005. Saint Workshops 2005. The 2005 Symposium on. <10.1109/SAINTW.2005.1620017></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://ieeexplore.ieee.org/</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 Patterns through Event-data Analysis</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">Sadek</forename><surname>Alaoui</surname></persName><idno type="halAuthorId">63618</idno><affiliation ref="#struct-40602"></affiliation></author><author role="aut"><persName><forename type="first">Karim</forename><surname>Baïna</surname></persName><idno type="halAuthorId">63619</idno><affiliation ref="#struct-40602"></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>International Symposium on Applications and the Internet - SAINT 2005. Workshop 6: Teamware: Supporting Scalebable Virtual Teams in Multi-organizational Settings</title><date type="start">2005-01-31</date><settlement>Trento, Italy</settlement></meeting><imprint><publisher>IEEE</publisher><biblScope unit="serie">Applications and the Internet Workshops, 2005. Saint Workshops 2005. The 2005 Symposium on</biblScope><biblScope unit="pp">226- 229</biblScope><date type="datePub">2005-01-31</date></imprint></monogr><idno type="doi">10.1109/SAINTW.2005.1620017</idno></biblStruct></sourceDesc><profileDesc><langUsage><language ident="en">English</language></langUsage><textClass><keywords scheme="author"><term xml:lang="en">workflow supported collaboration</term><term xml:lang="en">workflow patterns</term><term xml:lang="en">workflow mining</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">It is obvious to notice that in collaborative applications, considerable processes are either implicit, or integrate existing processes. The discovery, and the explanation of these processes are a hot research topic. The work described in 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 technique and a statistical analysis technique. This combination can deal with some ambiguities that the single use of the statistical analysis technique cannot resolve.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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