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Alex Alves Freitas: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Allen Chan, Alex Alves Freitas
    A New Classification-Rule Pruning Procedure for an Ant Colony Algorithm. [Citation Graph (0, 0)][DBLP]
    Artificial Evolution, 2005, pp:25-36 [Conf]
  2. Alex Alves Freitas, Simon H. Lavington
    Speeding up Knowledge Discovery in Large Relational Databases by Means of a New Discretization Algorithm. [Citation Graph (0, 0)][DBLP]
    BNCOD, 1996, pp:124-133 [Conf]
  3. Aruanda Simões Gonçalves, Alex Alves Freitas, Rodrigo Kato, Roberto Célio Limão de Oliveira
    Using Genetic Algorithms to Mine Interesting Dependence Modeling Rules. [Citation Graph (0, 0)][DBLP]
    Databases and Applications, 2005, pp:1-6 [Conf]
  4. Gisele L. Pappa, Anthony J. Baines, Alex Alves Freitas
    Predicting post-synaptic activity in proteins with data mining. [Citation Graph (0, 0)][DBLP]
    ECCB/JBI, 2005, pp:25- [Conf]
  5. Gisele L. Pappa, Alex Alves Freitas
    Automatically Evolving Rule Induction Algorithms. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:341-352 [Conf]
  6. Celia C. Bojarczuk, Heitor S. Lopes, Alex Alves Freitas
    An Innovative Application of a Constrained-Syntax Genetic Programming System to the Problem of Predicting Survival of Patients. [Citation Graph (0, 0)][DBLP]
    EuroGP, 2003, pp:11-21 [Conf]
  7. Fernando E. B. Otero, Monique M. S. Silva, Alex Alves Freitas, Júlio C. Nievola
    Genetic Programming for Attribute Construction in Data Mining. [Citation Graph (0, 0)][DBLP]
    EuroGP, 2003, pp:384-393 [Conf]
  8. Denise Fukumi Tsunoda, Heitor Silvério Lopes, Alex Alves Freitas
    An Evolutionary Approach for Motif Discovery and Transmembrane Protein Classification. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2005, pp:105-114 [Conf]
  9. Celia C. Bojarczuk, Heitor S. Lopes, Alex Alves Freitas
    Discovering comprehensible classification rules by using Genetic Programming: a case study in a medical domain. [Citation Graph (0, 0)][DBLP]
    GECCO, 1999, pp:953-958 [Conf]
  10. Deborah R. Carvalho, Alex Alves Freitas
    A hybrid decision tree/genetic algorithm for coping with the problem of small disjuncts in data mining. [Citation Graph (0, 0)][DBLP]
    GECCO, 2000, pp:1061-1068 [Conf]
  11. Deborah R. Carvalho, Alex Alves Freitas
    A Genetic Algorithm With Sequential Niching For Discovering Small-disjunct Rules. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:1035-1042 [Conf]
  12. Allen Chan, Alex Alves Freitas
    A new ant colony algorithm for multi-label classification with applications in bioinfomatics. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:27-34 [Conf]
  13. Elon S. Correa, Alex Alves Freitas, Colin G. Johnson
    A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:35-42 [Conf]
  14. Otavio Larsen, Alex Alves Freitas, Júlio C. Nievola
    Constructing X-of-n Attributes With A Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:1268- [Conf]
  15. Otavio Larsen, Alex Alves Freitas, Júlio C. Nievola
    Constructing X-of-N Attributes with a Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO Late Breaking Papers, 2002, pp:316-322 [Conf]
  16. Nick Miles, Alex Alves Freitas, Stephen Serjeant
    Estimating photometric redshifts with genetic algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1593-1594 [Conf]
  17. Edgar Noda, Alex Alves Freitas, Heitor S. Lopes
    Comparing a Genetic Algorithm with a Rule Induction Algorithm in the Data Mining Task of Dependence Modeling. [Citation Graph (0, 0)][DBLP]
    GECCO, 2000, pp:1080- [Conf]
  18. Fernando E. B. Otero, Monique M. S. Silva, Alex Alves Freitas
    Genetic Programming For Attribute Construction In Data Mining. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:1270- [Conf]
  19. Fernando E. B. Otero, Monique M. S. Silva, Alex Alves Freitas
    Genetic Programming for Attribute Construction in Data Mining. [Citation Graph (0, 0)][DBLP]
    GECCO Late Breaking Papers, 2002, pp:370-376 [Conf]
  20. Wesley Romão, Alex Alves Freitas, Roberto C. S. Pacheco
    A Genetic Algorithm For Discovering Interesting Fuzzy Prediction Rules: Applications To Science And Technology Data. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:1188-1195 [Conf]
  21. James Smaldon, Alex Alves Freitas
    A new version of the ant-miner algorithm discovering unordered rule sets. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:43-50 [Conf]
  22. Alex Alves Freitas, Simon H. Lavington
    Parallel Data Mining for Very Large Relational Databases. [Citation Graph (0, 0)][DBLP]
    HPCN Europe, 1996, pp:158-163 [Conf]
  23. Carlos Nascimento Silla Jr., Gisele L. Pappa, Alex Alves Freitas, Celso A. A. Kaestner
    Automatic Text Summarization with Genetic Algorithm-Based Attribute Selection. [Citation Graph (0, 0)][DBLP]
    IBERAMIA, 2004, pp:305-314 [Conf]
  24. Andrew Secker, Alex Alves Freitas, Jon Timmis
    A Danger Theory Inspired Approach to Web Mining. [Citation Graph (0, 0)][DBLP]
    ICARIS, 2003, pp:156-167 [Conf]
  25. Alex Alves Freitas, Jon Timmis
    Revisiting the Foundations of Artificial Immune Systems: A Problem-Oriented Perspective. [Citation Graph (0, 0)][DBLP]
    ICARIS, 2003, pp:229-241 [Conf]
  26. Alex Alves Freitas
    Towards Large-Scale Knowledge Discovery in Databases (KDD) by Exploiting Parallelism in Generic KDD Primitives. [Citation Graph (0, 0)][DBLP]
    NGITS, 1997, pp:0-0 [Conf]
  27. Deborah R. Carvalho, Alex Alves Freitas
    A Genetic Algorithm-Based Solution for the Problem of Small Disjuncts. [Citation Graph (0, 0)][DBLP]
    PKDD, 2000, pp:345-352 [Conf]
  28. 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]
  29. Christina S. Fertig, Alex Alves Freitas, Lucia V. R. Arruda, Celso A. A. Kaestner
    A Fuzzy Beam-Search Rule Induction Algorithm. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:341-347 [Conf]
  30. Alex Alves Freitas
    The Pronciple of Transformation between Efficiency and Effectiveness: Towards a Fair Evaluation of the Cost-Effectiveness of KDD Techniques. [Citation Graph (0, 0)][DBLP]
    PKDD, 1997, pp:299-306 [Conf]
  31. Alex Alves Freitas
    On Objective Measures of Rule Surprisingness. [Citation Graph (0, 0)][DBLP]
    PKDD, 1998, pp:1-9 [Conf]
  32. Alex Alves Freitas
    Scalable, High-Performance Data Mining with Parallel Processing. [Citation Graph (0, 0)][DBLP]
    PKDD, 1998, pp:477- [Conf]
  33. Roberto R. F. Mendes, Fabricio de B. Voznika, Alex Alves Freitas, Júlio C. Nievola
    Discovering Fuzzy Classification Rules with Genetic Programming and Co-evolution. [Citation Graph (0, 0)][DBLP]
    PKDD, 2001, pp:314-325 [Conf]
  34. Roberto Teixeira Alves, Myriam Regattieri Delgado, Heitor S. Lopes, Alex Alves Freitas
    An Artificial Immune System for Fuzzy-Rule Induction in Data Mining. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:1011-1020 [Conf]
  35. Nicholas Holden, Alex Alves Freitas
    Web Page Classification with an Ant Colony Algorithm. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:1092-1102 [Conf]
  36. Carem C. Fabris, Alex Alves Freitas
    Incorporating Deviation-Detection Functionality into the OLAP Paradigm. [Citation Graph (0, 0)][DBLP]
    SBBD, 2001, pp:274-285 [Conf]
  37. Joel Larocca Neto, Alex Alves Freitas, Celso A. A. Kaestner
    Automatic Text Summarization Using a Machine Learning Approach. [Citation Graph (0, 0)][DBLP]
    SBIA, 2002, pp:205-215 [Conf]
  38. Joel Larocca Neto, Alexandre Santos, Celso A. A. Kaestner, Alex Alves Freitas
    Generating Text Summaries through the Relative Importance of Topics. [Citation Graph (0, 0)][DBLP]
    IBERAMIA-SBIA, 2000, pp:300-309 [Conf]
  39. Gisele L. Pappa, Alex Alves Freitas, Celso A. A. Kaestner
    Attribute Selection with a Multi-objective Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    SBIA, 2002, pp:280-290 [Conf]
  40. Rafael S. Parpinelli, Heitor S. Lopes, Alex Alves Freitas
    Mining Comprehensible Rules from Data with an Ant Colony Algorithm. [Citation Graph (0, 0)][DBLP]
    SBIA, 2002, pp:259-269 [Conf]
  41. Brian Drabble, Laurent Chaudron, Catherine Tessier, Sue Abu-Hakima, Steven Willmott, Jim Austin, Boi Faltings, Eugene C. Freuder, Gerhard Friedrich, Alex Alves Freitas, Ulises Cortés, Miquel Sànchez-Marrè, David W. Aha, Irma Becerra-Fernandez, Héctor Muñoz-Avila, Aditya Ghose, Tim Menzies, Ken Satoh, Mary Elaine Califf, Michael Cox, Sandip Sen, Patrick Brézillon, Jean-Charles Pomerol, Roy M. Turner, Elise H. Turner
    Reports on the AAAI 1999 Workshop Program. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2000, v:21, n:1, pp:95-100 [Journal]
  42. Alex Alves Freitas
    Understanding the Crucial Role of Attribute Interaction in Data Mining. [Citation Graph (0, 0)][DBLP]
    Artif. Intell. Rev., 2001, v:16, n:3, pp:177-199 [Journal]
  43. Deborah R. Carvalho, Alex Alves Freitas
    Evaluating Six Candidate Solutions for the Small-Disjunct Problem and Choosing the Best Solution via Meta-Learning. [Citation Graph (0, 0)][DBLP]
    Artif. Intell. Rev., 2005, v:24, n:1, pp:61-98 [Journal]
  44. Celia C. Bojarczuk, Heitor S. Lopes, Alex Alves Freitas, Edson L. Michalkiewicz
    A constrained-syntax genetic programming system for discovering classification rules: application to medical data sets. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2004, v:30, n:1, pp:27-48 [Journal]
  45. Deborah R. Carvalho, Alex Alves Freitas
    A genetic-algorithm for discovering small-disjunct rules in data mining. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2002, v:2, n:2, pp:75-88 [Journal]
  46. Wesley Romão, Alex Alves Freitas, Itana Maria de Souza Gimenes
    Discovering interesting knowledge from a science and technology database with a genetic algorithm. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2004, v:4, n:2, pp:121-137 [Journal]
  47. Alex Alves Freitas
    Book Review: Data Mining Using Grammar-Based Genetic Programming and Applications. [Citation Graph (0, 0)][DBLP]
    Genetic Programming and Evolvable Machines, 2001, v:2, n:2, pp:197-199 [Journal]
  48. Simon H. Lavington, Neil Dewhurst, Elwood Wilkins, Alex Alves Freitas
    Interfacing knowledge discovery algorithms to large database management systems. [Citation Graph (0, 0)][DBLP]
    Information & Software Technology, 1999, v:41, n:9, pp:605-617 [Journal]
  49. Deborah R. Carvalho, Alex Alves Freitas
    A hybrid decision tree/genetic algorithm method for data mining. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2004, v:163, n:1-3, pp:13-35 [Journal]
  50. Alex Alves Freitas
    On rule interestingness measures. [Citation Graph (0, 0)][DBLP]
    Knowl.-Based Syst., 1999, v:12, n:5-6, pp:309-315 [Journal]
  51. Alex Alves Freitas
    Understanding the Crucial Differences Between Classification and Discovery of Association Rules - A Position Paper. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2000, v:2, n:1, pp:65-69 [Journal]
  52. Alex Alves Freitas
    A critical review of multi-objective optimization in data mining: a position paper. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2004, v:6, n:2, pp:77-86 [Journal]
  53. A. Ghosh, Alex Alves Freitas
    Guest editorial data mining and knowledge discovery with evolutionary algorithms. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2003, v:7, n:6, pp:517-518 [Journal]
  54. Rafael S. Parpinelli, Heitor S. Lopes, Alex Alves Freitas
    Data mining with an ant colony optimization algorithm. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2002, v:6, n:4, pp:321-332 [Journal]
  55. Filippo Menolascina, Roberto Teixeira Alves, Stefania Tommasi, Patrizia Chiarappa, Myriam Delgado, Giuseppe Mastronardi, Angelo Paradiso, Alex Alves Freitas, Vitoantonio Bevilacqua
    Induction of fuzzy rules with artificial immune systems in acgh based er status breast cancer characterization. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:431- [Conf]
  56. Nicholas Holden, Alex Alves Freitas
    A hybrid PSO/ACO algorithm for classification. [Citation Graph (0, 0)][DBLP]
    GECCO (Companion), 2007, pp:2745-2750 [Conf]
  57. Elon S. Correa, Alex Alves Freitas, Colin G. Johnson
    Particle swarm and bayesian networks applied to attribute selection for protein functional classification. [Citation Graph (0, 0)][DBLP]
    GECCO (Companion), 2007, pp:2651-2658 [Conf]
  58. Filippo Menolascina, Roberto Teixeira Alves, Stefania Tommasi, Patrizia Chiarappa, Myriam Delgado, Vitoantonio Bevilacqua, Giuseppe Mastronardi, Alex Alves Freitas, Angelo Paradiso
    Fuzzy Rule Induction and Artificial Immune Systems in Female Breast Cancer Familiarity Profiling. [Citation Graph (0, 0)][DBLP]
    KES (3), 2007, pp:830-837 [Conf]
  59. Eduardo P. Costa, Ana Carolina Lorena, André Carlos Ponce Leon Ferreira de Carvalho, Alex Alves Freitas, Nicholas Holden
    Comparing Several Approaches for Hierarchical Classification of Proteins with Decision Trees. [Citation Graph (0, 0)][DBLP]
    BSB, 2007, pp:126-137 [Conf]

  60. cAnt-Miner: An Ant Colony Classification Algorithm to Cope with Continuous Attributes. [Citation Graph (, )][DBLP]


  61. Protein Interaction Inference Using Particle Swarm Optimization Algorithm. [Citation Graph (, )][DBLP]


  62. Improving the Performance of Hierarchical Classification with Swarm Intelligence. [Citation Graph (, )][DBLP]


  63. A Hierarchical Classification Ant Colony Algorithm for Predicting Gene Ontology Terms. [Citation Graph (, )][DBLP]


  64. An estimation of distribution algorithm for the automatic generation of clustering algorithms. [Citation Graph (, )][DBLP]


  65. An Artificial Immune System for Evolving Amino Acid Clusters Tailored to Protein Function Prediction. [Citation Graph (, )][DBLP]


  66. A Global-Model Naive Bayes Approach to the Hierarchical Prediction of Protein Functions. [Citation Graph (, )][DBLP]


  67. Web log data clustering for a multi-agent recommendation system. [Citation Graph (, )][DBLP]


  68. MAHATMA: A Genetic Programming-Based Tool for Protein Classification. [Citation Graph (, )][DBLP]


  69. LEGAL-tree: a lexicographic multi-objective genetic algorithm for decision tree induction. [Citation Graph (, )][DBLP]


  70. Evolutionary model tree induction. [Citation Graph (, )][DBLP]


  71. EDACluster: An Evolucionary Density and Grid-Based Clustering Algorithm. [Citation Graph (, )][DBLP]


  72. A Hybrid Data Mining Metaheuristic for the p-Median Problem. [Citation Graph (, )][DBLP]


  73. Novel Top-Down Approaches for Hierarchical Classification and Their Application to Automatic Music Genre Classification. [Citation Graph (, )][DBLP]


  74. Top-Down Hierarchical Ensembles of Classifiers for Predicting G-Protein-Coupled-Receptor Functions. [Citation Graph (, )][DBLP]


  75. Multi-label Hierarchical Classification of Protein Functions with Artificial Immune Systems. [Citation Graph (, )][DBLP]


  76. Handling continuous attributes in Ant Colony Classification algorithms. [Citation Graph (, )][DBLP]


  77. AISEC: an artificial immune system for e-mail classification. [Citation Graph (, )][DBLP]


  78. WAIRS: improving classification accuracy by weighting attributes in the AIRS classifier. [Citation Graph (, )][DBLP]


  79. A Hybrid Evolutionary Approach for the Protein Classification Problem. [Citation Graph (, )][DBLP]


  80. AISIID: An artificial immune system for interesting information discovery on the web. [Citation Graph (, )][DBLP]


  81. On the hierarchical classification of G protein-coupled receptors. [Citation Graph (, )][DBLP]


  82. Optimizing amino acid groupings for GPCR classification. [Citation Graph (, )][DBLP]


  83. Message-passing algorithms for the prediction of protein domain interactions from protein-protein interaction data. [Citation Graph (, )][DBLP]


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