Data mining and knowledge discovery

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  Año 2020, Vol. 34, Número 2

  • A survey and benchmarking study of multitreatment uplift modeling.

    Diego Olaya, Kristof Coussement, Wouter Verbeke

    • Resumen

    pág. 273

    

  • On normalization and algorithm selection for unsupervised outlier detection.

    Sevvandi Kandanaarachchi, Mario A. Muñoz, Rob J. Hyndman, Kate Smith-Miles

    • Resumen

    pág. 309

    

  • SIAS-miner: mining subjectively interesting attributed subgraphs.

    Anes Bendimerad, Ahmad Mel, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie

    • Resumen

    pág. 355

    

  • Identifying exceptional (dis)agreement between groups.

    Adnene Belfodil, Sylvie Cazalens, Philippe Lamarre, Marc Plantevit

    • Resumen

    pág. 394

    

  • Mining relaxed functional dependencies from data.

    Loredana Caruccio, Vincenzo Deufemia, Giuseppe Polese

    • Resumen

    pág. 443

    

  • Parameterized low-rank binary matrix approximation.

    Fedor V. Fomin, Petr A. Golovach, Fahad Panolan

    • Resumen

    pág. 478

    

  • Integer programming ensemble of temporal relations classifiers.

    Catherine Kerr, Terri Hoare, Paula Carroll, Jakub Mareček

    • Resumen

    pág. 533

    

  • NegPSpan: efficient extraction of negative sequential patterns with embedding constraints.

    Thomas Guyet, René Quiniou

    • Resumen

    pág. 563