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Eduardo R. Hruschka: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
    Feature Selection by Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2004, pp:370-379 [Conf]
  2. Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
    Evaluating a Nearest-Neighbor Method to Substitute Continuous Missing Values. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2003, pp:723-734 [Conf]
  3. Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
    Towards Efficient Imputation by Nearest-Neighbors: A Clustering-Based Approach. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2004, pp:513-525 [Conf]
  4. Fabrício Alves Barbosa da Silva, Sílvia Carvalho, Eduardo R. Hruschka
    A Scheduling Algorithm for Running Bag-of-Tasks Data Mining Applications on the Grid. [Citation Graph (0, 0)][DBLP]
    Euro-Par, 2004, pp:254-262 [Conf]
  5. Antonio J. T. Garcia, Eduardo R. Hruschka
    Naive Bayes as an Imputation Tool for Classification Problems. [Citation Graph (0, 0)][DBLP]
    HIS, 2005, pp:497-499 [Conf]
  6. Eduardo R. Hruschka, Thiago F. Covoes, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
    Feature Selection for Clustering Problems: a Hybrid Algorithm that Iterates Between k-means and a Bayesian Filter. [Citation Graph (0, 0)][DBLP]
    HIS, 2005, pp:405-410 [Conf]
  7. Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
    A Data Preparation Bayesian Approach for a Clustering Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    HIS, 2002, pp:453-461 [Conf]
  8. Eduardo R. Hruschka, Ricardo J. G. B. Campello, Leandro Nunes de Castro
    Improving the Efficiency of a Clustering Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    IBERAMIA, 2004, pp:861-870 [Conf]
  9. Fabrício Alves Barbosa da Silva, Sílvia Carvalho, Hermes Senger, Eduardo R. Hruschka, Cléver Ricardo Guareis de Farias
    Running Data Mining Applications on the Grid: A Bag-of-Tasks Approach. [Citation Graph (0, 0)][DBLP]
    ICCSA (2), 2004, pp:168-177 [Conf]
  10. Eduardo R. Hruschka, Leandro Nunes de Castro, Ricardo J. G. B. Campello
    Evolutionary Algorithms for Clustering Gene-Expression Data. [Citation Graph (0, 0)][DBLP]
    ICDM, 2004, pp:403-406 [Conf]
  11. Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
    Missing Values Imputation for a Clustering Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    ICNC (3), 2005, pp:245-254 [Conf]
  12. Vahid Sherafat, Leandro Nunes de Castro, Eduardo R. Hruschka
    TermitAnt: An Ant Clustering Algorithm Improved by Ideas from Termite Colonies. [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:1088-1093 [Conf]
  13. Eduardo R. Hruschka, Nelson F. F. Ebecken
    Applying a Clustering Genetic Algorithm for Extracting Rules from a Supervised Neural Network. [Citation Graph (0, 0)][DBLP]
    IJCNN (3), 2000, pp:407-412 [Conf]
  14. Hermes Senger, Eduardo R. Hruschka, Fabrício Alves Barbosa da Silva, Liria Matsumoto Sato, Calebe De Paula Bianchini, Marcelo D. Esperidiãao
    Inhambu: Data Mining Using Idle Cycles in Clusters of PCs. [Citation Graph (0, 0)][DBLP]
    NPC, 2004, pp:213-220 [Conf]
  15. Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
    A Nearest-Neighbor Method as a Data Preparation Tool for a Clustering Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    SBBD, 2003, pp:319-327 [Conf]
  16. Eduardo R. Hruschka, Thiago F. Covoes
    Feature Selection for Cluster Analysis: an Approach Based on the Simplified Silhouette Criterion. [Citation Graph (0, 0)][DBLP]
    CIMCA/IAWTIC, 2005, pp:32-38 [Conf]
  17. Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
    A Feature Selection Bayesian Approach for Extracting Classification Rules with a Clustering Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 2003, v:17, n:5-6, pp:489-506 [Journal]
  18. Ricardo J. G. B. Campello, Eduardo R. Hruschka
    A fuzzy extension of the silhouette width criterion for cluster analysis. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2006, v:157, n:21, pp:2858-2875 [Journal]
  19. Eduardo R. Hruschka, Nelson F. F. Ebecken
    A genetic algorithm for cluster analysis. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2003, v:7, n:1, pp:15-25 [Journal]
  20. Eduardo R. Hruschka, Nelson F. F. Ebecken
    A clustering algorithm for extracting rules from supervised neural network models in data mining tasks. [Citation Graph (0, 0)][DBLP]
    Int. J. Comput. Syst. Signal, 2000, v:1, n:1, pp:17-29 [Journal]
  21. André L. Vizine, Leandro Nunes de Castro, Eduardo R. Hruschka, Ricardo R. Gudwin
    Towards Improving Clustering Ants: An Adaptive Ant Clustering Algorithm. [Citation Graph (0, 0)][DBLP]
    Informatica (Slovenia), 2005, v:29, n:2, pp:143-154 [Journal]
  22. Eduardo R. Hruschka, Ricardo J. G. B. Campello, Leandro Nunes de Castro
    Evolving clusters in gene-expression data. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2006, v:176, n:13, pp:1898-1927 [Journal]
  23. Hermes Senger, Eduardo R. Hruschka, Fabrício Alves Barbosa da Silva, Liria Matsumoto Sato, Calebe De Paula Bianchini, Bruno F. Jerosch
    Exploiting idle cycles to execute data mining applications on clusters of PCs. [Citation Graph (0, 0)][DBLP]
    Journal of Systems and Software, 2007, v:80, n:5, pp:778-790 [Journal]

  24. A Fuzzy Variant of an Evolutionary Algorithm for Clustering. [Citation Graph (, )][DBLP]


  25. Fuzzy Clustering-Based Filter. [Citation Graph (, )][DBLP]


  26. EACImpute: An Evolutionary Algorithm for Clustering-Based Imputation. [Citation Graph (, )][DBLP]


  27. An Experimental Study on Unsupervised Clustering-Based Feature Selection Methods. [Citation Graph (, )][DBLP]


  28. A Robust Methodology for Comparing Performances of Clustering Validity Criteria. [Citation Graph (, )][DBLP]


  29. On the Comparison of Relative Clustering Validity Criteria. [Citation Graph (, )][DBLP]


  30. An Evolutionary Algorithm for Missing Values Substitution in Classification Tasks. [Citation Graph (, )][DBLP]


  31. A Cluster-Based Feature Selection Approach. [Citation Graph (, )][DBLP]


  32. Applying Bayesian Networks for Meteorological Data Mining. [Citation Graph (, )][DBLP]


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