Fouille de motifs séquentiels pour l'élicitation de stratégies à partir de traces d'interactions entre agents en compétition
Identifieur interne : 000C94 ( Main/Exploration ); précédent : 000C93; suivant : 000C95Fouille de motifs séquentiels pour l'élicitation de stratégies à partir de traces d'interactions entre agents en compétition
Auteurs : Guillaume Bosc [France] ; Mehdi Kaytoue [France] ; Chedy Raïssi [France] ; Jean-François Boulicaut [France]Source :
Abstract
Pour atteindre un but, tout agent en compétition élabore inévitablement des stratégies. Lorsque l’on dispose d’une certaine quantité de traces d’interactions entre agents, il est naturel d’utiliser la fouille de motifs séquentiels pour découvrir de manière automatique ces stratégies. Dans cet article, nous proposons une méthodologie qui permet l’élicitation de stratégies et leur capacité à discriminer une réussite ou un échec. La méthodologie s’articule en trois étapes :(i) les traces brutes sont transformées en une base de séquences selon des choix qui permettent, (ii) l’extraction de stratégies fréquentes, (iii) lesquelles sont munies d’une mesure originale d’émergence. C’est donc une méthodologie de découverte de connaissances que nous proposons. Nous montrons l’intérêt des motifs extraits et la faisabilité de l’approche à travers des expérimentations quantitatives et qualitatives sur des données réelles issues du domaine émergent du sport électronique
Url:
Affiliations:
- France
- Auvergne-Rhône-Alpes, Grand Est, Lorraine (région), Rhône-Alpes
- Lyon, Metz, Nancy
- Université Claude Bernard Lyon 1, Université de Lorraine, Université de Lyon
Links toward previous steps (curation, corpus...)
- to stream Hal, to step Corpus: 005C73
- to stream Hal, to step Curation: 005C73
- to stream Hal, to step Checkpoint: 000C40
- to stream Main, to step Merge: 000D02
- to stream Main, to step Curation: 000C94
Le document en format XML
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Grand Est</orgName><desc><address><addrLine>615 rue du Jardin Botanique 54600 Villers-lès-Nancy</addrLine><country key="FR"></country></address><ref type="url">http://www.inria.fr/nancy</ref></desc><listRelation><relation active="#struct-300009" type="direct"></relation></listRelation></org></tutelle><tutelle active="#struct-300009" type="indirect"><org type="institution" xml:id="struct-300009" status="VALID"><orgName>Institut National de Recherche en Informatique et en Automatique</orgName><orgName type="acronym">Inria</orgName><desc><address><addrLine>Domaine de VoluceauRocquencourt - BP 10578153 Le Chesnay Cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.inria.fr/en/</ref></desc></org></tutelle><tutelle active="#struct-423086" type="direct"><org type="department" xml:id="struct-423086" status="VALID"><orgName>Department of Natural Language Processing & Knowledge Discovery</orgName><orgName type="acronym">LORIA - NLPKD</orgName><desc><address><country key="FR"></country></address><ref type="url">http://www.loria.fr/la-recherche-en/departements/Knowledge-and-Language-Management</ref></desc><listRelation><relation active="#struct-206040" type="direct"></relation><relation active="#struct-300009" type="indirect"></relation><relation active="#struct-413289" type="indirect"></relation><relation name="UMR7503" active="#struct-441569" type="indirect"></relation></listRelation></org></tutelle><tutelle active="#struct-206040" type="indirect"><org type="laboratory" xml:id="struct-206040" status="VALID"><idno type="IdRef">067077927</idno><idno type="RNSR">198912571S</idno><idno type="IdUnivLorraine">[UL]RSI--</idno><orgName>Laboratoire Lorrain de Recherche en Informatique et ses Applications</orgName><orgName type="acronym">LORIA</orgName><date type="start">2012-01-01</date><desc><address><addrLine>Campus Scientifique BP 239 54506 Vandoeuvre-lès-Nancy Cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.loria.fr</ref></desc><listRelation><relation active="#struct-300009" type="direct"></relation><relation active="#struct-413289" type="direct"></relation><relation name="UMR7503" active="#struct-441569" type="direct"></relation></listRelation></org></tutelle><tutelle active="#struct-413289" type="indirect"><org type="institution" xml:id="struct-413289" status="VALID"><idno type="IdRef">157040569</idno><idno type="IdUnivLorraine">[UL]100--</idno><orgName>Université de Lorraine</orgName><orgName type="acronym">UL</orgName><date type="start">2012-01-01</date><desc><address><addrLine>34 cours Léopold - CS 25233 - 54052 Nancy cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-lorraine.fr/</ref></desc></org></tutelle><tutelle name="UMR7503" active="#struct-441569" type="indirect"><org type="institution" xml:id="struct-441569" status="VALID"><idno type="ISNI">0000000122597504</idno><idno type="IdRef">02636817X</idno><orgName>Centre National de la Recherche Scientifique</orgName><orgName type="acronym">CNRS</orgName><date type="start">1939-10-19</date><desc><address><country key="FR"></country></address><ref type="url">http://www.cnrs.fr/</ref></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><settlement type="city">Metz</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université de Lorraine</orgName></affiliation></author><author><name sortKey="Boulicaut, Jean Francois" sort="Boulicaut, Jean Francois" uniqKey="Boulicaut J" first="Jean-François" last="Boulicaut">Jean-François Boulicaut</name><affiliation wicri:level="1"><hal:affiliation type="researchteam" xml:id="struct-413086" status="VALID"><orgName>Data Mining and Machine Learning</orgName><orgName type="acronym">DM2L</orgName><desc><address><country key="FR"></country></address></desc><listRelation><relation active="#struct-2003" type="direct"></relation><relation active="#struct-33804" type="indirect"></relation><relation active="#struct-126765" type="indirect"></relation><relation active="#struct-194495" type="indirect"></relation><relation name="- LYON" active="#struct-301232" type="indirect"></relation><relation name="UMR5205" active="#struct-441569" type="indirect"></relation></listRelation><tutelles><tutelle active="#struct-2003" type="direct"><org type="laboratory" xml:id="struct-2003" status="VALID"><orgName>Laboratoire d'InfoRmatique en Image et Systèmes d'information</orgName><orgName type="acronym">LIRIS</orgName><desc><address><addrLine>Bâtiment Blaise Pascal - 20, avenue Albert Einstein - 69621 Villeurbanne cedex</addrLine><country key="FR"></country></address><ref type="url">http://liris.cnrs.fr/</ref></desc><listRelation><relation active="#struct-33804" type="direct"></relation><relation active="#struct-126765" type="direct"></relation><relation active="#struct-194495" type="direct"></relation><relation name="- LYON" active="#struct-301232" type="direct"></relation><relation name="UMR5205" active="#struct-441569" type="direct"></relation></listRelation></org></tutelle><tutelle active="#struct-33804" type="indirect"><org type="institution" xml:id="struct-33804" status="VALID"><orgName>Université Lumière - Lyon 2</orgName><orgName type="acronym">UL2</orgName><desc><address><addrLine>86, rue Pasteur - 69007 Lyon</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-lyon2.fr</ref></desc></org></tutelle><tutelle active="#struct-126765" type="indirect"><org type="institution" xml:id="struct-126765" status="VALID"><orgName>École Centrale de Lyon</orgName><orgName type="acronym">ECL</orgName><desc><address><addrLine>36 avenue Guy de Collongue - 69134 Ecully cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.ec-lyon.fr</ref></desc></org></tutelle><tutelle active="#struct-194495" type="indirect"><org type="institution" xml:id="struct-194495" status="VALID"><orgName>Université Claude Bernard Lyon 1</orgName><orgName type="acronym">UCBL</orgName><desc><address><addrLine>43, boulevard du 11 novembre 1918, 69622 Villeurbanne cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-lyon1.fr/</ref></desc></org></tutelle><tutelle name="- LYON" active="#struct-301232" type="indirect"><org type="institution" xml:id="struct-301232" status="VALID"><orgName>Institut National des Sciences Appliquées</orgName><orgName type="acronym">INSA</orgName><desc><address><country key="FR"></country></address></desc></org></tutelle><tutelle name="UMR5205" active="#struct-441569" type="indirect"><org type="institution" xml:id="struct-441569" status="VALID"><idno type="ISNI">0000000122597504</idno><idno type="IdRef">02636817X</idno><orgName>Centre National de la Recherche Scientifique</orgName><orgName type="acronym">CNRS</orgName><date type="start">1939-10-19</date><desc><address><country key="FR"></country></address><ref type="url">http://www.cnrs.fr/</ref></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Lyon</settlement><region type="region" nuts="2">Auvergne-Rhône-Alpes</region><region type="old region" nuts="2">Rhône-Alpes</region></placeName><orgName type="university">Université Claude Bernard Lyon 1</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lyon</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="fr">Pour atteindre un but, tout agent en compétition élabore inévitablement des stratégies. Lorsque l’on dispose d’une certaine quantité de traces d’interactions entre agents, il est naturel d’utiliser la fouille de motifs séquentiels pour découvrir de manière automatique ces stratégies. Dans cet article, nous proposons une méthodologie qui permet l’élicitation de stratégies et leur capacité à discriminer une réussite ou un échec. La méthodologie s’articule en trois étapes :(i) les traces brutes sont transformées en une base de séquences selon des choix qui permettent, (ii) l’extraction de stratégies fréquentes, (iii) lesquelles sont munies d’une mesure originale d’émergence. C’est donc une méthodologie de découverte de connaissances que nous proposons. Nous montrons l’intérêt des motifs extraits et la faisabilité de l’approche à travers des expérimentations quantitatives et qualitatives sur des données réelles issues du domaine émergent du sport électronique</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Auvergne-Rhône-Alpes</li><li>Grand Est</li><li>Lorraine (région)</li><li>Rhône-Alpes</li></region><settlement><li>Lyon</li><li>Metz</li><li>Nancy</li></settlement><orgName><li>Université Claude Bernard Lyon 1</li><li>Université de Lorraine</li><li>Université de Lyon</li></orgName></list><tree><country name="France"><region name="Auvergne-Rhône-Alpes"><name sortKey="Bosc, Guillaume" sort="Bosc, Guillaume" uniqKey="Bosc G" first="Guillaume" last="Bosc">Guillaume Bosc</name></region><name sortKey="Boulicaut, Jean Francois" sort="Boulicaut, Jean Francois" uniqKey="Boulicaut J" first="Jean-François" last="Boulicaut">Jean-François Boulicaut</name><name sortKey="Kaytoue, Mehdi" sort="Kaytoue, Mehdi" uniqKey="Kaytoue M" first="Mehdi" last="Kaytoue">Mehdi Kaytoue</name><name sortKey="Raissi, Chedy" sort="Raissi, Chedy" uniqKey="Raissi C" first="Chedy" last="Raïssi">Chedy Raïssi</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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