Data mining and knowledge discovery

• 

  Año 2011, Vol. 22, Número 1-2

  • Selective sampling techniques for feedback-based data retrieval

    Hwanjo Yu

    • Resumen

    págs. 1-30

    

  • A survey of hierarchical classification across different application domains

    Carlos Silla, Alex Freitas

    • Resumen

    págs. 31-72

    

  • A disk-aware algorithm for time series motif discovery

    Abdullah Mueen, Eamonn Keogh, Qiang Zhu, Sydney Cash, M. Westover, Nima Bigdely-Shamlo

    • Resumen

    págs. 73-105

    

  • Learning Bayesian networks by hill climbing: efficient methods based on progressive restriction of the neighborhood

    José Gámez, Juan Mateo, José Puerta

    • Resumen

    págs. 106-148

    

  • Time series shapelets: a novel technique that allows accurate, interpretable and fast classification

    Lexiang Ye, Eamonn Keogh

    • Resumen

    págs. 149-182

    

  • Web robot detection techniques: overview and limitations

    Derek Doran, Swapna Gokhale

    • Resumen

    págs. 183-210

    

  • Tree pattern expression for extracting information from syntactically parsed text corpora

    Yong Choi

    • Resumen

    págs. 211-231

    

  • Identifying predictive multi-dimensional time series motifs: an application to severe weather prediction

    Amy McGovern, Derek Rosendahl, Rodger Brown, Kelvin Droegemeier

    • Resumen

    págs. 232-258

    

  • Detecting and ordering salient regions

    Larry Shoemaker, Robert Banfield, Lawrence O. Hall, Kevin Bowyer, W. Kegelmeyer

    • Resumen

    págs. 259-290

    

  • Classifier evaluation and attribute selection against active adversaries

    Murat Kantarcıoğlu, Bowei Xi, Chris Clifton

    • Resumen

    págs. 291-335