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Nelson F. F. Ebecken: [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. Mauro Sousa, Marta Mattoso, Nelson F. F. Ebecken
    Data-Mining: A Tightly-Coupled Implementation on a Parallel Database Server. [Citation Graph (0, 0)][DBLP]
    DEXA Workshop, 1998, pp:711-716 [Conf]
  5. S. R. R. Costa, L. G. Neves, F. Ayres, C. E. Mendonça, R. S. N. de Bragança, F. Gandour, L. V. Ferreira, Myrian C. A. Costa, Nelson F. F. Ebecken
    GridBR: The Challenge of Grid Computing. [Citation Graph (0, 0)][DBLP]
    GCC (1), 2003, pp:601-607 [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, 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]
  9. 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]
  10. Alexandre Evsukoff, Nelson F. F. Ebecken
    Mining Fuzzy Rules for a Traffic Information System. [Citation Graph (0, 0)][DBLP]
    KES, 2003, pp:237-243 [Conf]
  11. Vincenzo de Roberto Junior, Nelson F. F. Ebecken, Elias Restum Antonio
    A new approach for the discovery of conserved regions in DNA sequences. [Citation Graph (0, 0)][DBLP]
    Neural Networks and Computational Intelligence, 2004, pp:84-89 [Conf]
  12. Deborah R. Carvalho, Alex Alves Freitas, Nelson F. F. Ebecken
    Evaluating the Correlation Between Objective Rule Interestingness Measures and Real Human Interest. [Citation Graph (0, 0)][DBLP]
    PKDD, 2005, pp:453-461 [Conf]
  13. Mauricio Onoda, Nelson F. F. Ebecken
    Implementação em Java de um Algoritmo de Árvore de Decisão Acoplado a um SGBD Relacional. [Citation Graph (0, 0)][DBLP]
    SBBD, 2001, pp:55-64 [Conf]
  14. 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]
  15. André da Motta Salles Barreto, Helio J. C. Barbosa, Nelson F. F. Ebecken
    Growing Compact RBF Networks Using a Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    SBRN, 2002, pp:61-66 [Conf]
  16. Alexandre Evsukoff, Myrian C. A. Costa, Nelson F. F. Ebecken
    Parallel Implementation of a Fuzzy Rule Based Classifier. [Citation Graph (0, 0)][DBLP]
    VECPAR, 2004, pp:184-193 [Conf]
  17. Carmen N. M. Paz, Luiz Fernando Martha, José L. D. Alves, Eduardo M. R. Fairbairn, Nelson F. F. Ebecken, Alvaro L. G. A. Coutinho
    Parallel Implementation for Probabilistic Analysis of 3D Discrete Cracking in Concrete. [Citation Graph (0, 0)][DBLP]
    VECPAR, 2002, pp:79-93 [Conf]
  18. José L. A. Rosa, Nelson F. F. Ebecken
    Data Mining for Data Classification Based on the KNN-Fuzzy Method Supported by Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    VECPAR, 2002, pp:126-136 [Conf]
  19. 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]
  20. Estevam R. Hruschka Jr., Nelson F. F. Ebecken
    Missing values prediction with K2. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2002, v:6, n:6, pp:557-566 [Journal]
  21. 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]
  22. Mauro Sousa, Marta Mattoso, Nelson F. F. Ebecken
    Mining a large database with a parallel database server. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 1999, v:3, n:6, pp:437-451 [Journal]
  23. 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]
  24. André M. S. Barreto, Helio J. C. Barbosa, Nelson F. F. Ebecken
    GOLS - Genetic orthogonal least squares algorithm for training RBF networks. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:16-18, pp:2041-2064 [Journal]
  25. Sebastião C. Pereira, Ulisses T. Mello, Nelson F. F. Ebecken, Rafi L. Muhanna
    Uncertainty in Thermal Basin Modeling: An Interval Finite Element Approach. [Citation Graph (0, 0)][DBLP]
    Reliable Computing, 2006, v:12, n:6, pp:451-470 [Journal]
  26. Carlos André R. Pinheiro, Alexandre Evsukoff, Nelson F. F. Ebecken
    Revenue recovering with insolvency prevention on a Brazilian telecom operator. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2006, v:8, n:1, pp:65-70 [Journal]
  27. Grazziela Patrocinio Figueredo, Nelson F. F. Ebecken, Helio J. C. Barbosa
    Suppression based immune mechanism to find arepresentative training set in data classification tasks. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:171- [Conf]
  28. Grazziela Patrocinio Figueredo, Nelson F. F. Ebecken, Helio J. C. Barbosa
    The SUPRAIC Algorithm: A Suppression Immune Based Mechanism to Find a Representative Training Set in Data Classification Tasks. [Citation Graph (0, 0)][DBLP]
    ICARIS, 2007, pp:59-70 [Conf]
  29. D. M. S. Martins, Fernando Otaviano Campos, Leandro Neumann Ciuffo, Rafael Sachetto Oliveira, Ronan M. Amorim, V. F. Vieira, Nelson F. F. Ebecken, Ciro B. Barbosa, Rodrigo Weber dos Santos
    A Computational Framework for Cardiac Modeling Based on Distributed Computing and Web Applications. [Citation Graph (0, 0)][DBLP]
    VECPAR, 2006, pp:544-555 [Conf]
  30. Marta V. Modenesi, Myrian C. A. Costa, Alexandre Evsukoff, Nelson F. F. Ebecken
    Parallel Fuzzy c-Means Cluster Analysis. [Citation Graph (0, 0)][DBLP]
    VECPAR, 2006, pp:52-65 [Conf]

  31. Potential collaboration discovery using document clustering and community structure detection. [Citation Graph (, )][DBLP]


  32. Coevolution of data samples and classifiers integrated with grammatically-based genetic programming for data classification. [Citation Graph (, )][DBLP]


  33. Term Weighting Approaches for Text Categorization Improving. [Citation Graph (, )][DBLP]


  34. Ontology Model for Multi-relational Data Mining Application. [Citation Graph (, )][DBLP]


  35. Text Mining Grid Services for Multiple Environments. [Citation Graph (, )][DBLP]


  36. Using Stemming Algorithms on a Grid Environment. [Citation Graph (, )][DBLP]


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


  38. Towards efficient variables ordering for Bayesian networks classifier. [Citation Graph (, )][DBLP]


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