Data mining and knowledge discovery

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  Año 2017, Vol. 31, Número 4

  • Reviewer acknowledgment

    págs. 907-908

    

  • FitMine: automatic mining for time-evolving signals of cardiotocography monitoring

    Sun-Hee Kim, Hyung-Jeong Yang, Seong-Whan Lee

    • Resumen

    págs. 909-933

    

  • Retrieving geometric information from images: the case of hand-drawn diagrams

    Dan Song, Dongming Wang, Xiaoyu Chen

    • Resumen

    págs. 934-971

    

  • Scalable density-based clustering with quality guarantees using random projections

    Johannes Schneider, Michail Vlachos

    • Resumen

    págs. 972-1005

    

  • Discrimination of Alzheimer’s Disease using longitudinal information

    Helena Aidos, Ana Fred

    • Resumen

    págs. 1006-1030

    

  • Enhancing social collaborative filtering through the application of non-negative matrix factorization and exponential random graph models

    Georgios Alexandridis, Georgios Siolas, Andreas Stafylopatis

    • Resumen

    págs. 1031-1059

    

  • Measuring discrimination in algorithmic decision making

    Indrė Žliobaitė

    • Resumen

    págs. 1060-1089

    

  • The PRIMPING routine—Tiling through proximal alternating linearized minimization

    Sibylle Hess, Katharina Morik, Nico Piatkowski

    • Resumen

    págs. 1090-1131

    

  • Robust unsupervised cluster matching for network data

    Tomoharu Iwata, Katsuhiko Ishiguro

    • Resumen

    págs. 1132-1154