Data mining and knowledge discovery

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  Año 2019, Vol. 33, Número 4

  • Setting decision thresholds when operating conditions are uncertain

    César Ferri Ramírez, José Hernández Orallo, Peter Flach

    • Resumen

    págs. 805-847

    

  • Automatic discovery of adverse reactions through Chinese social media.

    Mengxue Zhang, Meizhuo Zhang, Chen Ge, Quanyang Liu, Jiemin Wang, Jia Wei, Kenny Q. Zhu

    • Resumen

    pág. 848

    

  • Unsupervised dimensionality reduction versus supervised regularization for classification from sparse data.

    Jessica Clark, Foster Provost

    • Resumen

    pág. 871

    

  • Deep learning for time series classification: a review.

    Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller

    • Resumen

    pág. 917

    

  • Algorithmic cache of sorted tables for feature selection: Speeding up methods based on consistency and information theory measures.

    Antonio Arauzo-Azofra, Alfonso Jiménez-Vílchez, José Molina-Baena, María Luque Rodriguez

    • Resumen
    • Texto completo

    pág. 964

    

  • A new class of metrics for learning on real-valued and structured data.

    Ruiyu Yang, Yuxiang Jiang, Scott Mathews, Elizabeth A. Housworth, Matthew W. Hahn, Predrag Radivojac

    • Resumen

    pág. 995

    

  • The decomposed normalized maximum likelihood code-length criterion for selecting hierarchical latent variable models.

    Kenji Yamanishi, Tianyi Wu, Shinya Sugawara, Makoto Okada

    • Resumen

    pág. 1017

    

  • Clustering for heterogeneous information networks with extended star-structure.

    Jian-Ping Mei, Huajiang Lv, Lianghuai Yang, Yanjun Li

    • Resumen

    pág. 1059

    

  • Subjectively interesting connecting trees and forests.

    Florian Adriaens, Jefrey Lijffijt, Tijl De Bie

    • Resumen

    pág. 1088

    

  • Efficiently mining cohesion-based patterns and rules in event sequences.

    Boris Cule, Len Feremans, Bart Goethals

    • Resumen

    pág. 1125

    

  • Interpretable time series classification using linear models and multi-resolution multi-domain symbolic representations.

    Thanh-Son Nguyen, Severin Gsponer, Iulia Ilie, Martin O'Reilly, Georgiana Ifrim

    • Resumen

    pág. 1183