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Découverte d'un sous-groupe optimal dans des données purement numériques

Alexandre Millot , Rémy Cazabet , Jean-François Boulicaut
Extraction et Gestion des Connaissances (EGC), Jan 2020, Bruxelles, Belgique. pp.25-36
Conference papers hal-02483329v1
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Exceptional Model Mining to support Multi-objective Optimization

Alexandre Millot , Rémy Cazabet , Jean-François Boulicaut
LIRIS UMR 5205. 2022
Reports hal-03868373v1
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Exceptional Model Mining meets Multi-Objective Optimization: Application to Plant Growth Recipes in Controlled Environments

Alexandre Millot
Computer Science [cs]. INSA Lyon, 2021. English. ⟨NNT : ⟩
Theses tel-03390102v1
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Optimal Subgroup Discovery in Purely Numerical Data

Alexandre Millot , Rémy Cazabet , Jean-François Boulicaut
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), May 2020, Singapore (on line), Singapore. pp.112-124, ⟨10.1007/978-3-030-47436-2_9⟩
Conference papers hal-02483379v2
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Exceptional Model Mining meets Multi-objective Optimization

Alexandre Millot , Rémy Cazabet , Jean-François Boulicaut
2021 SIAM International Conference on Data Mining (SDM), Apr 2021, Alexandria ( virtual event ), United States. pp.378-386, ⟨10.1137/1.9781611976700.43⟩
Conference papers hal-03220671v1
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Actionable Subgroup Discovery and Urban Farm Optimization

Alexandre Millot , Romain Mathonat , Rémy Cazabet , Jean-François Boulicaut
International Symposium on Intelligent Data Analysis (IDA), Apr 2020, Konstanz, Germany. pp.339-351, ⟨10.1007/978-3-030-44584-3_27⟩
Conference papers hal-02483314v1