Data mining and knowledge discovery

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  Año 2009, Vol. 18, Número 2

  • Alternative prior assumptions for improving the performance of naïve Bayesian classifiers

    Tzu-Tsung Wong

    • Resumen

    págs. 183-213

    

  • A global optimization method for semi-supervised clustering

    Yu Xia

    • Resumen

    págs. 214-256

    

  • Using instance-level constraints in agglomerative hierarchical clustering: theoretical and empirical results

    Ian Davidson, S. S. Ravi

    • Resumen

    págs. 257-282

    

  • Active learning for object classification: from exploration to exploitation

    Nicolas Cebron, Michael Berthold

    • Resumen

    págs. 283-299

    

  • Sourcerer: mining and searching internet-scale software repositories

    Erik Linstead, Sushil Bajracharya, Trung Ngo, Paul Rigor, Cristina Lopes, Pierre Baldi

    • Resumen

    págs. 300-336