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Identifying exceptional (dis) agreement between groups

, , , and . Data Mining and Knowledge Discovery, 34 (2): 394--442 (2020)

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Analyse de comportements relatifs exceptionnels expliquée par des textes : les votes du parlement européen., , , , , , , and . EGC, volume E-35 of RNTI, page 437-440. Éditions RNTI, (2019)Anytime subgroup discovery in numerical domains with guarantees, , and . Joint European Conference on Machine Learning and Knowledge Discovery in Databases, page 500--516. Springer, (2018)Anytime Subgroup Discovery in Numerical Domains with Guarantees, , and . ECML/PKDD, (2018)DEvIANT: Discovering Significant Exceptional (Dis-)Agreement Within Groups., , , , and . ECML/PKDD (1), volume 11906 of Lecture Notes in Computer Science, page 3-20. Springer, (2019)Exceptional Model Mining for Behavioral Data Analysis. (Fouille de Modèles Exceptionnels dans les Données Comportementales).. Claude Bernard University Lyon 1, France, (2019)Identifying exceptional (dis) agreement between groups, , , and . Data Mining and Knowledge Discovery, 34 (2): 394--442 (2020)Mining Formal Concepts Using Implications Between Items., , and . ICFCA, volume 11511 of Lecture Notes in Computer Science, page 173-190. Springer, (2019)Flash Points: Discovering Exceptional Pairwise Behaviors in Vote or Rating Data., , , and . ECML/PKDD (2), volume 10535 of Lecture Notes in Computer Science, page 442-458. Springer, (2017)FSSD - A Fast and Efficient Algorithm for Subgroup Set Discovery., , , , , , and . DSAA, page 91-99. IEEE, (2019)