Data mining and knowledge discovery

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  Año 2019, Vol. 33, Número 6

  • A unifying view of explicit and implicit feature maps of graph kernels.

    Nils M. Kriege, Marion Neumann, Christopher Morris, Kristian Kersting, Petra Mutzel

    • Resumen

    págs. 1505-1547

    

  • HHMF: hidden hierarchical matrix factorization for recommender systems.

    Hui Li, Yu Liu, Yuqiu Qian, Nikos Mamoulis, Wenting Tu, David W. Cheung

    • Resumen

    págs. 1548-1582

    

  • Efficient mixture model for clustering of sparse high dimensional binary data.

    Marek Śmieja, Krzysztof Hajto, Jacek Tabor

    • Resumen

    págs. 1583-1624

    

  • More for less: adaptive labeling payments in online labor markets.

    Tomer Geva, Maytal Saar-Tsechansky, Harel Lustiger

    • Resumen

    págs. 1625-1673

    

  • A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates

    James Large, Jason Lines, Anthony Bagnall

    • Resumen

    págs. 1674-1709

    

  • Dynamics reconstruction and classification via Koopman features.

    Wei Zhang, Yao-Chi Yu, Jr-Shin Li

    • Resumen

    págs. 1710-1735

    

  • Extending inverse frequent itemsets mining to generate realistic datasets: complexity, accuracy and emerging applications.

    Domenico Saccà, Edoardo Serra, Antonino Rullo

    • Resumen

    págs. 1736-1774

    

  • SAZED: parameter-free domain-agnostic season length estimation in time series data.

    Maximilian Toller, Tiago Santos, Roman Kern

    • Resumen

    págs. 1775-1798

    

  • Wrangling messy CSV files by detecting row and type patterns.

    G. J. J. van den Burg, A. Nazábal, C. Sutton

    • Resumen

    págs. 1799-1820

    

  • catch22: CAnonical Time-series CHaracteristics: Selected through highly comparative time-series analysis.

    Carl H. Lubba, Sarab S. Sethi, Philip Knaute, Simon R. Schultz, Ben D. Fulcher, Nick S. Jones

    • Resumen

    págs. 1821-1852

    

  • Contextual bandits with hidden contexts: a focused data capture from social media streams.

    Sylvain Lamprier, Thibault Gisselbrecht, Patrick Gallinari

    • Resumen

    págs. 1853-1893

    

  • A unified view of density-based methods for semi-supervised clustering and classification.

    Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander, Ricardo Campello

    • Resumen

    págs. 1894-1952

    

  • Attributed network embedding via subspace discovery.

    Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang

    • Resumen

    págs. 1953-1980

    

  • Correction to: Domain agnostic online semantic segmentation for multi-dimensional time series.

    Shaghayegh Gharghabi, Chin-Chia Yeh, Yifei Ding, Wei Ding, Paul Hibbing, Samuel LaMunion, Andrew Kaplan, Scott E. Crouter, Eamonn Keogh

    • Resumen

    pág. 1981