Data mining and knowledge discovery

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  Año 2019, Vol. 33, Número 3

  • An effective and versatile distance measure for spatiotemporal trajectories

    Somayeh Naderivesal, Lars Kulik, James Bailey

    • Resumen

    págs. 577-606

    

  • Proximity Forest: an effective and scalable distance-based classifier for time series

    Benjamin Lucas, Ahmed Shifaz, Charlotte Pelletier, Lachlan O’Neill, Nayyar Zaidi, Bart Goethals, François Petitjean, Geoffrey I. Webb

    • Resumen

    págs. 607-635

    

  • Modeling and elucidation of housing price

    Fei Tan, Chaoran Cheng, Zhi Wei

    • Resumen

    págs. 636-662

    

  • EACD: evolutionary adaptation to concept drifts in data streams

    Hossein Ghomeshi, Mohamed Medhat Gaber, Yevgeniya Kovalchuk

    • Resumen

    págs. 663-694

    

  • Guest Editorial

    Alípio Jorge, Rui L. Lopes, German Larrazabal, Hamed Nikhalat-Jahromi

    págs. 695-696

    

  • Editor’s Note

    págs. 697-697

    

  • Spatial autocorrelation and entropy for renewable energy forecasting

    Michelangelo Ceci, Roberto Corizzo, Donato Malerba, Aleksandra Rashkovska

    • Resumen

    págs. 698-729

    

  • The spatial leave-pair-out cross-validation method for reliable AUC estimation of spatial classifiers

    Antti Airola, Jonne Pohjankukka, Johanna Torppa, Maarit Middleton, Vesa Nykänen, Jukka Heikkonen, Tapio Pahikkala

    • Resumen

    págs. 730-747

    

  • Dynamic detection of anomalous regions within distributed acoustic sensing data streams using locally stationary wavelet time series

    Rebecca E. Wilson, Idris A. Eckley, Matthew A. Nunes, Timothy Park

    • Resumen

    págs. 748-772

    

  • Concept drift over geological times: predictive modeling baselines for analyzing the mammalian fossil record

    Indrė Žliobaitė

    • Resumen

    págs. 773-803