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Alex Alves Freitas
2010 – today
- 2013
[j45]Khalid M. Salama, Alex Alves Freitas: Learning Bayesian network classifiers using ant colony optimization. Swarm Intelligence 7(2-3): 229-254 (2013)
[j44]Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson: A New Sequential Covering Strategy for Inducing Classification Rules With Ant Colony Algorithms. IEEE Trans. Evolutionary Computation 17(1): 64-76 (2013)
[c84]Ricardo Cerri, Rodrigo C. Barros, André Carlos Ponce Leon Ferreira de Carvalho, Alex Alves Freitas: A grammatical evolution algorithm for generation of Hierarchical Multi-Label Classification rules. IEEE Congress on Evolutionary Computation 2013: 454-461
[c83]Khalid M. Salama, Alex Alves Freitas: Investigating the impact of various classification quality measures in the predictive accuracy of ABC-Miner. IEEE Congress on Evolutionary Computation 2013: 2321-2328
[c82]Khalid M. Salama, Alex Alves Freitas: Clustering-based Bayesian Multi-net Classifier construction with Ant Colony Optimization. IEEE Congress on Evolutionary Computation 2013: 3079-3086
[c81]Luiz Henrique de Campos Merschmann, Alex Alves Freitas: An Extended Local Hierarchical Classifier for Prediction of Protein and Gene Functions. DaWaK 2013: 159-171
[c80]Khalid M. Salama, Alex Alves Freitas: ACO-Based Bayesian Network Ensembles for the Hierarchical Classification of Ageing-Related Proteins. EvoBIO 2013: 80-91
[c79]Khalid M. Salama, Alex Alves Freitas: Evaluating the use of different measure functions in the predictive quality of ABC-miner. GECCO (Companion) 2013: 15-16
[c78]Fernando E. B. Otero, Alex Alves Freitas: Improving the interpretability of classification rules discovered by an ant colony algorithm. GECCO 2013: 73-80
[c77]Khalid M. Salama, Alex Alves Freitas: Extending the ABC-Miner Bayesian Classification Algorithm. NICSO 2013: 1-12
[c76]Rodrigo C. Barros, Ricardo Cerri, Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho: Probabilistic Clustering for Hierarchical Multi-Label Classification of Protein Functions. ECML/PKDD (2) 2013: 385-400- 2012
[j43]Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson: Inducing decision trees with an ant colony optimization algorithm. Appl. Soft Comput. 12(11): 3615-3626 (2012)
[j42]Bruno C. Paes, Alexandre Plastino, Alex Alves Freitas: Improving Local Per Level Hierarchical Classification. JIDM 3(3): 394-409 (2012)
[j41]Rodrigo Coelho Barros, Márcio Porto Basgalupp, André Carlos Ponce Leon Ferreira de Carvalho, Alex Alves Freitas: A Survey of Evolutionary Algorithms for Decision-Tree Induction. IEEE Transactions on Systems, Man, and Cybernetics, Part C 42(3): 291-312 (2012)
[c75]Khalid M. Salama, Alex Alves Freitas: ABC-Miner: An Ant-Based Bayesian Classification Algorithm. ANTS 2012: 13-24
[c74]Matthew Medland, Fernando E. B. Otero, Alex Alves Freitas: Improving the cAnt-MinerPB Classification Algorithm. ANTS 2012: 73-84
[c73]Aruanda Simões Goncalves Meiguins, Roberto Célio Limão de Oliveira, Bianchi Serique Meiguins, Samuel F. S. Junior, Alex Alves Freitas: AutoClustering: An estimation of distribution algorithm for the automatic generation of clustering algorithms. IEEE Congress on Evolutionary Computation 2012: 1-7
[c72]Alberto Moraglio, Fernando E. B. Otero, Colin G. Johnson, Simon Thompson, Alex Alves Freitas: Evolving recursive programs using non-recursive scaffolding. IEEE Congress on Evolutionary Computation 2012: 1-8
[c71]Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce Leon Ferreira de Carvalho, Alex Alves Freitas: A hyper-heuristic evolutionary algorithm for automatically designing decision-tree algorithms. GECCO 2012: 1237-1244
[c70]Suwimol Jungjit, Alex Alves Freitas, M. Michaelis, J. Cinatl: A Multi-Label Correlation-Based Feature Selection Method for the Classification of Neuroblastoma Microarray Data. Industrial Conference on Data Mining - Workshops 2012: 149-157- 2011
[j40]Carlos Nascimento Silla Jr., Alex Alves Freitas: A survey of hierarchical classification across different application domains. Data Min. Knowl. Discov. 22(1-2): 31-72 (2011)
[j39]Rafael B. Pereira, Alexandre Plastino, Bianca Zadrozny, Luiz Henrique de Campos Merschmann, Alex Alves Freitas: Lazy attribute selection: Choosing attributes at classification time. Intell. Data Anal. 15(5): 715-732 (2011)
[j38]Ricardo Cerri, André Carlos Ponce Leon Ferreira de Carvalho, Alex Alves Freitas: Adapting non-hierarchical multilabel classification methods for hierarchical multilabel classification. Intell. Data Anal. 15(6): 861-887 (2011)
[j37]Carlos Nascimento Silla Jr., Alex Alves Freitas: Selecting different protein representations and classification algorithms in hierarchical protein function prediction. Intell. Data Anal. 15(6): 979-999 (2011)
[j36]Rafael B. Pereira, Alexandre Plastino, Bianca Zadrozny, Luiz Henrique de Campos Merschmann, Alex Alves Freitas: Improving Lazy Attribute Selection. JIDM 2(3): 447-462 (2011)
[j35]Alexandre Plastino, Richard Fuchshuber, Simone L. Martins, Alex Alves Freitas, Saïd Salhi: A hybrid data mining metaheuristic for the p-median problem. Statistical Analysis and Data Mining 4(3): 313-335 (2011)
[j34]Denise Fukumi Tsunoda, Alex Alves Freitas, Heitor Silvério Lopes: A genetic programming method for protein motif discovery and protein classification. Soft Comput. 15(10): 1897-1908 (2011)
[j33]Khalid M. Salama, Ashraf M. Abdelbar, Alex Alves Freitas: Multiple pheromone types and other extensions to the Ant-Miner classification rule discovery algorithm. Swarm Intelligence 5(3-4): 149-182 (2011)
[c69]Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce Leon Ferreira de Carvalho, Alex Alves Freitas: Towards the automatic design of decision tree induction algorithms. GECCO (Companion) 2011: 567-574
[c68]João C. Xavier Junior, Anne M. P. Canuto, Alex Alves Freitas, Luiz M. G. Gonçalves, Carlos Nascimento Silla Jr.: A hierarchical approach to represent relational data applied to clustering tasks. IJCNN 2011: 3055-3062- 2010
[j32]Antonio LaTorre, José María Peña, Santiago Muelas, Alex Alves Freitas: Learning hybridization strategies in evolutionary algorithms. Intell. Data Anal. 14(3): 333-354 (2010)
[j31]Andrew Secker, Matthew N. Davies, Alex Alves Freitas, Edward Clark, Jonathan Timmis, Darren R. Flower: Hierarchical classification of G-Protein-Coupled Receptors with data-driven selection of attributes and classifiers. IJDMB 4(2): 191-210 (2010)
[j30]Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson: A hierarchical multi-label classification ant colony algorithm for protein function prediction. Memetic Computing 2(3): 165-181 (2010)
[j29]Alex Alves Freitas, Daniela Wieser, Rolf Apweiler: On the Importance of Comprehensible Classification Models for Protein Function Prediction. IEEE/ACM Trans. Comput. Biology Bioinform. 7(1): 172-182 (2010)
[c67]Roberto Teixeira Alves, Miguel Delgado, Alex Alves Freitas: Knowledge discovery with Artificial Immune Systems for hierarchical multi-label classification of protein functions. FUZZ-IEEE 2010: 1-8
[c66]Aruanda Simões Goncalves Meiguins, Alex Alves Freitas, Roberto Célio Limão de Oliveira, Samuel F. S. Junior, Bianchi Serique Meiguins: An estimation of distribution algorithm for the automatic generation of clustering algorithms. GECCO 2010: 1069-1070
[c65]João Carlos Xavier Jr., Alex Alves Freitas, Anne M. P. Canuto, Luiz Marcos Gonçalves: Web log data clustering for a multi-agent recommendation system. ICMLC 2010: 471-476
[c64]Rodrigo C. Barros, Márcio P. Basgalupp, Duncan D. Ruiz, André Carlos Ponce Leon Ferreira de Carvalho, Alex Alves Freitas: Evolutionary model tree induction. SAC 2010: 1131-1137
[p8]Alex Alves Freitas: A Review of Evolutionary Algorithms for Data Mining. Data Mining and Knowledge Discovery Handbook 2010: 371-400
[p7]Gisele L. Pappa, Alex Alves Freitas: Creating Rule Ensembles from Automatically-Evolved Rule Induction Algorithms. Advances in Machine Learning I 2010: 257-273
2000 – 2009
- 2009
[j28]Gisele L. Pappa, Alex Alves Freitas: Automatically evolving rule induction algorithms tailored to the prediction of postsynaptic activity in proteins. Intell. Data Anal. 13(2): 243-259 (2009)
[j27]Márcio P. Basgalupp, André Carlos Ponce Leon Ferreira de Carvalho, Rodrigo C. Barros, Duncan D. Ruiz, Alex Alves Freitas: Lexicographic multi-objective evolutionary induction of decision trees. IJBIC 1(1/2): 105-117 (2009)
[j26]Andrew Secker, Matthew N. Davies, Alex Alves Freitas, Jonathan Timmis, Edward Clark, Darren R. Flower: An Artificial Immune System for Clustering Amino Acids in the Context of Protein Function Classification. J. Math. Model. Algorithms 8(2): 103-123 (2009)
[j25]Gisele L. Pappa, Alex Alves Freitas: Evolving rule induction algorithms with multi-objective grammar-based genetic programming. Knowl. Inf. Syst. 19(3): 283-309 (2009)
[j24]Nicholas Holden, Alex Alves Freitas: Hierarchical classification of protein function with ensembles of rules and particle swarm optimisation. Soft Comput. 13(3): 259-272 (2009)
[j23]Eduardo R. Hruschka, Ricardo José Gabrielli Barreto Campello, Alex Alves Freitas, André Carlos Ponce Leon Ferreira de Carvalho: A Survey of Evolutionary Algorithms for Clustering. IEEE Transactions on Systems, Man, and Cybernetics, Part C 39(2): 133-155 (2009)
[c63]Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson: Handling continuous attributes in Ant Colony Classification algorithms. CIDM 2009: 225-231
[c62]Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson: A Hierarchical Classification Ant Colony Algorithm for Predicting Gene Ontology Terms. EvoBIO 2009: 68-79
[c61]Denise Fukumi Tsunoda, Heitor S. Lopes, Alex Alves Freitas: A Hybrid Evolutionary Approach for the Protein Classification Problem. ICCCI 2009: 629-640
[c60]Carlos Nascimento Silla Jr., Alex Alves Freitas: A Global-Model Naive Bayes Approach to the Hierarchical Prediction of Protein Functions. ICDM 2009: 992-997
[c59]Denise Fukumi Tsunoda, Alex Alves Freitas, Heitor S. Lopes: MAHATMA: A Genetic Programming-Based Tool for Protein Classification. ISDA 2009: 1136-1142
[c58]Márcio P. Basgalupp, Rodrigo C. Barros, André Carlos Ponce Leon Ferreira de Carvalho, Alex Alves Freitas, Duncan D. Ruiz: LEGAL-tree: a lexicographic multi-objective genetic algorithm for decision tree induction. SAC 2009: 1085-1090
[c57]Alexandre Plastino, Erick R. Fonseca, Richard Fuchshuber, Simone L. Martins, Alex Alves Freitas, Martino Luis, Saïd Salhi: A Hybrid Data Mining Metaheuristic for the p-Median Problem. SDM 2009: 305-316
[c56]Carlos Nascimento Silla Jr., Alex Alves Freitas: Novel Top-Down Approaches for Hierarchical Classification and Their Application to Automatic Music Genre Classification. SMC 2009: 3499-3504
[p6]André Carlos Ponce Leon Ferreira de Carvalho, Alex Alves Freitas: A Tutorial on Multi-label Classification Techniques. Foundations of Computational Intelligence (5) 2009: 177-195
[p5]Fernando E. B. Otero, Marc Segond, Alex Alves Freitas, Colin G. Johnson, Denis Robilliard, Cyril Fonlupt: An Empirical Evaluation of the Effectiveness of Different Types of Predictor Attributes in Protein Function Prediction. Foundations of Computational Intelligence (5) 2009: 339-357
[r2]Alex Alves Freitas, Gisele L. Pappa: Genetic Programming for Automatically Constructing Data Mining Algorithms. Encyclopedia of Data Warehousing and Mining 2009: 932-936- 2008
[j22]Andrew Secker, Alex Alves Freitas, Jon Timmis: AISIID: An artificial immune system for interesting information discovery on the web. Appl. Soft Comput. 8(2): 885-905 (2008)
[j21]Matthew N. Davies, Andrew Secker, Alex Alves Freitas, Edward Clark, Jonathan Timmis, Darren R. Flower: Optimizing amino acid groupings for GPCR classification. Bioinformatics 24(18): 1980-1986 (2008)
[j20]Mudassar Iqbal, Alex Alves Freitas, Colin G. Johnson, Massimo Vergassola: Message-passing algorithms for the prediction of protein domain interactions from protein-protein interaction data. Bioinformatics 24(18): 2064-2070 (2008)
[j19]Filippo Menolascina, Roberto Teixeira Alves, Stefania Tommasi, Patrizia Chiarappa, Myriam Regattieri Delgado, Vitoantonio Bevilacqua, Giuseppe Mastronardi, Alex Alves Freitas, Angelo Paradiso: Fuzzy rule induction and artificial immune systems in female breast cancer familiarity profiling. Int. J. Hybrid Intell. Syst. 5(3): 161-165 (2008)
[c55]Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson: cAnt-Miner: An Ant Colony Classification Algorithm to Cope with Continuous Attributes. ANTS Conference 2008: 48-59
[c54]Nicholas Holden, Alex Alves Freitas: Improving the Performance of Hierarchical Classification with Swarm Intelligence. EvoBIO 2008: 48-60
[c53]Mudassar Iqbal, Alex Alves Freitas, Colin G. Johnson: Protein Interaction Inference Using Particle Swarm Optimization Algorithm. EvoBIO 2008: 61-70
[c52]Andrew Secker, Matthew N. Davies, Alex Alves Freitas, Jonathan Timmis, Edward Clark, Darren R. Flower: An Artificial Immune System for Evolving Amino Acid Clusters Tailored to Protein Function Prediction. ICARIS 2008: 242-253
[c51]Roberto Teixeira Alves, Myriam Regattieri Delgado, Alex Alves Freitas: Multi-label Hierarchical Classification of Protein Functions with Artificial Immune Systems. BSB 2008: 1-12
[c50]Eduardo P. Costa, Ana Carolina Lorena, André C. P. L. F. Carvalho, Alex Alves Freitas: Top-Down Hierarchical Ensembles of Classifiers for Predicting G-Protein-Coupled-Receptor Functions. BSB 2008: 35-46
[p4]Vitoantonio Bevilacqua, Filippo Menolascina, Roberto Teixeira Alves, Stefania Tommasi, Giuseppe Mastronardi, Myriam Regattieri Delgado, Angelo Paradiso, Giuseppe Nicosia, Alex Alves Freitas: Artificial Immune Systems in Bioinformatics. Computational Intelligence in Biomedicine and Bioinformatics 2008: 271-295
[p3]Alex Alves Freitas: A Review of evolutionary Algorithms for Data Mining. Soft Computing for Knowledge Discovery and Data Mining 2008: 79-111
[p2]Gisele L. Pappa, Alex Alves Freitas: Discovering New Rule Induction Algorithms with Grammar-based Genetic Programming. Soft Computing for Knowledge Discovery and Data Mining 2008: 133-152- 2007
[j18]Matthew N. Davies, Andrew Secker, Alex Alves Freitas, Miguel Mendao, Jonathan Timmis, Darren R. Flower: On the hierarchical classification of G protein-coupled receptors. Bioinformatics 23(23): 3113-3118 (2007)
[j17]Alex Alves Freitas, Jonathan Timmis: Revisiting the Foundations of Artificial Immune Systems for Data Mining. IEEE Trans. Evolutionary Computation 11(4): 521-540 (2007)
[c49]Andrew Secker, Alex Alves Freitas: WAIRS: improving classification accuracy by weighting attributes in the AIRS classifier. IEEE Congress on Evolutionary Computation 2007: 3759-3765
[c48]Filippo Menolascina, Roberto Teixeira Alves, Stefania Tommasi, Patrizia Chiarappa, Myriam Regattieri 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. GECCO 2007: 431
[c47]Elon Santos Correa, Alex Alves Freitas, Colin G. Johnson: Particle swarm and bayesian networks applied to attribute selection for protein functional classification. GECCO (Companion) 2007: 2651-2658
[c46]Nicholas Holden, Alex Alves Freitas: A hybrid PSO/ACO algorithm for classification. GECCO (Companion) 2007: 2745-2750
[c45]César S. de Oliveira, Paulo Igor Alves Godinho, Aruanda Simões Goncalves Meiguins, Bianchi Serique Meiguins, Alex Alves Freitas: EDACluster: an Evolutionary Density and Grid-Based Clustering Algorithm. ISDA 2007: 143-150
[c44]Filippo Menolascina, Roberto Teixeira Alves, Stefania Tommasi, Patrizia Chiarappa, Myriam Regattieri Delgado, Vitoantonio Bevilacqua, Giuseppe Mastronardi, Alex Alves Freitas, Angelo Paradiso: Fuzzy Rule Induction and Artificial Immune Systems in Female Breast Cancer Familiarity Profiling. KES (3) 2007: 830-837
[c43]César S. de Oliveira, Aruanda Simões Goncalves Meiguins, Bianchi Serique Meiguins, Paulo Igor Alves Godinho, Alex Alves Freitas: EDACluster: An Evolucionary Density and Grid-Based Clustering Algorithm. SBBD 2007: 175-189
[c42]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. BSB 2007: 126-137- 2006
[j16]Carem C. Fabris, Alex Alves Freitas: Discovering Surprising Instances of Simpson's Paradox in Hierarchical Multidimensional Data. IJDWM 2(1): 27-49 (2006)
[c41]Gisele L. Pappa, Alex Alves Freitas: Automatically Evolving Rule Induction Algorithms. ECML 2006: 341-352
[c40]Allen Chan, Alex Alves Freitas: A new ant colony algorithm for multi-label classification with applications in bioinfomatics. GECCO 2006: 27-34
[c39]Elon Santos Correa, Alex Alves Freitas, Colin G. Johnson: A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set. GECCO 2006: 35-42
[c38]James Smaldon, Alex Alves Freitas: A new version of the ant-miner algorithm discovering unordered rule sets. GECCO 2006: 43-50
[c37]Nick Miles, Alex Alves Freitas, Stephen Serjeant: Estimating photometric redshifts with genetic algorithms. GECCO 2006: 1593-1594- 2005
[j15]Deborah R. Carvalho, Alex Alves Freitas: Evaluating Six Candidate Solutions for the Small-Disjunct Problem and Choosing the Best Solution via Meta-Learning. Artif. Intell. Rev. 24(1): 61-98 (2005)
[c36]Allen Chan, Alex Alves Freitas: A New Classification-Rule Pruning Procedure for an Ant Colony Algorithm. Artificial Evolution 2005: 25-36
[c35]Aruanda Simões Gonçalves, Alex Alves Freitas, Rodrigo Kato, Roberto Célio Limão de Oliveira: Using Genetic Algorithms to Mine Interesting Dependence Modeling Rules. Databases and Applications 2005: 1-6
[c34]Gisele L. Pappa, Anthony J. Baines, Alex Alves Freitas: Predicting post-synaptic activity in proteins with data mining. ECCB/JBI 2005: 25
[c33]Denise Fukumi Tsunoda, Heitor Silvério Lopes, Alex Alves Freitas: An Evolutionary Approach for Motif Discovery and Transmembrane Protein Classification. EvoWorkshops 2005: 105-114
[c32]Deborah R. Carvalho, Alex Alves Freitas, Nelson F. F. Ebecken: Evaluating the Correlation Between Objective Rule Interestingness Measures and Real Human Interest. PKDD 2005: 453-461
[p1]Alex Alves Freitas: Evolutionary Algorithms for Data Mining. The Data Mining and Knowledge Discovery Handbook 2005: 435-467
[e1]Mathieu S. Capcarrère, Alex Alves Freitas, Peter J. Bentley, Colin G. Johnson, Jon Timmis (Eds.): Advances in Artificial Life, 8th European Conference, ECAL 2005, Canterbury, UK, September 5-9, 2005, Proceedings. Lecture Notes in Computer Science 3630, Springer 2005, ISBN 3-540-28848-1
[r1]Rafael S. Parpinelli, Heitor Silvério Lopes, Alex Alves Freitas: Classification-Rule Discovery with an Ant Colony Algorithm. Encyclopedia of Information Science and Technology (I) 2005: 420-424- 2004
[j14]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. Artificial Intelligence in Medicine 30(1): 27-48 (2004)
[j13]Wesley Romão, Alex Alves Freitas, Itana Maria de Souza Gimenes: Discovering interesting knowledge from a science and technology database with a genetic algorithm. Appl. Soft Comput. 4(2): 121-137 (2004)
[j12]Deborah R. Carvalho, Alex Alves Freitas: A hybrid decision tree/genetic algorithm method for data mining. Inf. Sci. 163(1-3): 13-35 (2004)
[j11]Elon Santos Correa, Maria Teresinha A. Steiner, Alex Alves Freitas, Celso Carnieri: A Genetic Algorithm for Solving a Capacitated p-Median Problem. Numerical Algorithms 35(2-4): 373-388 (2004)
[j10]Alex Alves Freitas: A critical review of multi-objective optimization in data mining: a position paper. SIGKDD Explorations 6(2): 77-86 (2004)
[c31]Carlos Nascimento Silla Jr., Gisele L. Pappa, Alex Alves Freitas, Celso A. A. Kaestner: Automatic Text Summarization with Genetic Algorithm-Based Attribute Selection. IBERAMIA 2004: 305-314
[c30]Roberto Teixeira Alves, Myriam Regattieri Delgado, Heitor S. Lopes, Alex Alves Freitas: An Artificial Immune System for Fuzzy-Rule Induction in Data Mining. PPSN 2004: 1011-1020
[c29]Nicholas Holden, Alex Alves Freitas: Web Page Classification with an Ant Colony Algorithm. PPSN 2004: 1092-1102- 2003
[j9]Ashish Ghosh, Alex Alves Freitas: Guest editorial data mining and knowledge discovery with evolutionary algorithms. IEEE Trans. Evolutionary Computation 7(6): 517-518 (2003)
[c28]Andrew Secker, Alex Alves Freitas, Jon Timmis: AISEC: an artificial immune system for e-mail classification. IEEE Congress on Evolutionary Computation (1) 2003: 131-138
[c27]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. EuroGP 2003: 11-21
[c26]Fernando E. B. Otero, Monique M. S. Silva, Alex Alves Freitas, Júlio C. Nievola: Genetic Programming for Attribute Construction in Data Mining. EuroGP 2003: 384-393
[c25]Andrew Secker, Alex Alves Freitas, Jon Timmis: A Danger Theory Inspired Approach to Web Mining. ICARIS 2003: 156-167
[c24]Alex Alves Freitas, Jon Timmis: Revisiting the Foundations of Artificial Immune Systems: A Problem-Oriented Perspective. ICARIS 2003: 229-241- 2002
[j8]Deborah R. Carvalho, Alex Alves Freitas: A genetic-algorithm for discovering small-disjunct rules in data mining. Appl. Soft Comput. 2(2): 75-88 (2002)
[j7]Rafael S. Parpinelli, Heitor S. Lopes, Alex Alves Freitas: Data mining with an ant colony optimization algorithm. IEEE Trans. Evolutionary Computation 6(4): 321-332 (2002)
[c23]Otavio Larsen, Alex Alves Freitas, Júlio C. Nievola: Constructing X-of-N Attributes with a Genetic Algorithm. GECCO Late Breaking Papers 2002: 316-322
[c22]Fernando E. B. Otero, Monique M. S. Silva, Alex Alves Freitas: Genetic Programming for Attribute Construction in Data Mining. GECCO Late Breaking Papers 2002: 370-376
[c21]Deborah R. Carvalho, Alex Alves Freitas: A Genetic Algorithm With Sequential Niching For Discovering Small-disjunct Rules. GECCO 2002: 1035-1042
[c20]Wesley Romão, Alex Alves Freitas, Roberto C. S. Pacheco: A Genetic Algorithm For Discovering Interesting Fuzzy Prediction Rules: Applications To Science And Technology Data. GECCO 2002: 1188-1195
[c19]Otavio Larsen, Alex Alves Freitas, Júlio C. Nievola: Constructing X-of-n Attributes With A Genetic Algorithm. GECCO 2002: 1268
[c18]Fernando E. B. Otero, Monique M. S. Silva, Alex Alves Freitas: Genetic Programming For Attribute Construction In Data Mining. GECCO 2002: 1270
[c17]Joel Larocca Neto, Alex Alves Freitas, Celso A. A. Kaestner: Automatic Text Summarization Using a Machine Learning Approach. SBIA 2002: 205-215
[c16]Rafael S. Parpinelli, Heitor S. Lopes, Alex Alves Freitas: Mining Comprehensible Rules from Data with an Ant Colony Algorithm. SBIA 2002: 259-269
[c15]Gisele L. Pappa, Alex Alves Freitas, Celso A. A. Kaestner: Attribute Selection with a Multi-objective Genetic Algorithm. SBIA 2002: 280-290- 2001
[j6]Alex Alves Freitas: Understanding the Crucial Role of Attribute Interaction in Data Mining. Artif. Intell. Rev. 16(3): 177-199 (2001)
[j5]Alex Alves Freitas: Book Review: Data Mining Using Grammar-Based Genetic Programming and Applications. Genetic Programming and Evolvable Machines 2(2): 197-199 (2001)
[c14]Roberto R. F. Mendes, Fabricio de B. Voznika, Alex Alves Freitas, Júlio C. Nievola: Discovering Fuzzy Classification Rules with Genetic Programming and Co-evolution. PKDD 2001: 314-325
[c13]Carem C. Fabris, Alex Alves Freitas: Incorporating Deviation-Detection Functionality into the OLAP Paradigm. SBBD 2001: 274-285- 2000
[j4]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 T. Cox, Sandip Sen, Patrick Brézillon, Jean-Charles Pomerol, Roy M. Turner, Elise H. Turner: Reports on the AAAI 1999 Workshop Program. AI Magazine 21(1): 95-100 (2000)
[j3]Alex Alves Freitas: Understanding the Crucial Differences Between Classification and Discovery of Association Rules - A Position Paper. SIGKDD Explorations 2(1): 65-69 (2000)
[c12]Deborah R. Carvalho, Alex Alves Freitas: A hybrid decision tree/genetic algorithm for coping with the problem of small disjuncts in data mining. GECCO 2000: 1061-1068
[c11]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. GECCO 2000: 1080
[c10]Deborah R. Carvalho, Alex Alves Freitas: A Genetic Algorithm-Based Solution for the Problem of Small Disjuncts. PKDD 2000: 345-352
[c9]Joel Larocca Neto, Alexandre Denes Santos, Celso A. A. Kaestner, Alex Alves Freitas: Generating Text Summaries through the Relative Importance of Topics. IBERAMIA-SBIA 2000: 300-309
1990 – 1999
- 1999
[j2]Simon H. Lavington, Neil Dewhurst, Elwood Wilkins, Alex Alves Freitas: Interfacing knowledge discovery algorithms to large database management systems. Information & Software Technology 41(9): 605-617 (1999)
[j1]
[c8]Celia C. Bojarczuk, Heitor S. Lopes, Alex Alves Freitas: Discovering comprehensible classification rules by using Genetic Programming: a case study in a medical domain. GECCO 1999: 953-958
[c7]Christina S. Fertig, Alex Alves Freitas, Lucia V. R. Arruda, Celso A. A. Kaestner: A Fuzzy Beam-Search Rule Induction Algorithm. PKDD 1999: 341-347- 1998
[b1]Alex Alves Freitas, Simon H. Lavington: Mining very large databases with parallel processing. Advances in Database Systems 9, Kluwer 1998, ISBN 978-0-7923-8048-1, pp. I-IX, 1-208
[c6]
[c5]- 1997
[c4]Alex Alves Freitas: Towards Large-Scale Knowledge Discovery in Databases (KDD) by Exploiting Parallelism in Generic KDD Primitives. NGITS 1997: 0-
[c3]Alex Alves Freitas: The Pronciple of Transformation between Efficiency and Effectiveness: Towards a Fair Evaluation of the Cost-Effectiveness of KDD Techniques. PKDD 1997: 299-306- 1996
[c2]Alex Alves Freitas, Simon H. Lavington: Speeding up Knowledge Discovery in Large Relational Databases by Means of a New Discretization Algorithm. BNCOD 1996: 124-133
[c1]Alex Alves Freitas, Simon H. Lavington: Parallel Data Mining for Very Large Relational Databases. HPCN Europe 1996: 158-163
Coauthor Index
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last updated on 2013-10-02 11:02 CEST by the dblp team



