Data mining and knowledge discovery

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  Año 2021, Vol. 35, Número 1

  • A survey of community detection methods in multilayer networks

    Xinyu Huang, Dongming Chen, Tao Ren, Dongqi Wang

    • Resumen

    págs. 1-45

    

  • A survey of deep network techniques all classifiers can adopt

    Alireza Ghods, Diane J. Cook

    • Resumen

    págs. 46-87

    

  • Online summarization of dynamic graphs using subjective interestingness for sequential data

    Sarang Kapoor, Dhish Kumar Saxena, Matthijs van Leeuwen

    • Resumen

    págs. 88-126

    

  • Recency-based sequential pattern mining in multiple event sequences

    Hakkyu Kim, Dong-Wan Choi

    • Resumen

    págs. 127-157

    

  • For real: a thorough look at numeric attributes in subgroup discovery

    Marvin Meeng, Arno Knobbe

    • Resumen

    págs. 158-212

    

  • The network-untangling problem: from interactions to activity timelines

    Polina Rozenshtein, Nikolaj Tatti, Aristides Gionis

    • Resumen

    págs. 213-247

    

  • An exemplar-based clustering using efficient variational message passing

    Mohamed Hamza Ibrahim, Rokia Missaoui

    • Resumen

    págs. 248-289

    

  • Natural language techniques supporting decision modelers

    Leticia Arco, Gonzalo Nápoles, Frank Vanhoenshoven, Ana Laura Lara, Gladys Casas, Koen Vanhoof

    • Resumen

    págs. 290-320

    

  • Mining explainable local and global subgraph patterns with surprising densities

    Junning Deng, Bo Kang, Jefrey Lijffijt, Tijl De Bie

    • Resumen

    págs. 321-371

    

  • SMILE: a feature-based temporal abstraction framework for event-interval sequence classification

    Jonathan Rebane, Isak Karlsson, Leon Bornemann, Panagiotis Papapetrou

    • Resumen

    págs. 372-399