Alex Alves Freitas

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)

Khalid M. Salama, Alex Alves Freitas: ACO-Based Bayesian Network Ensembles for the Hierarchical Classification of Ageing-Related Proteins. EvoBIO 2013: 80-91

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)

Bruno C. Paes, Alexandre Plastino, Alex Alves Freitas: Improving Local Per Level Hierarchical Classification. JIDM 3(3): 394-409 (2012)

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)

Khalid M. Salama, Alex Alves Freitas: ABC-Miner: An Ant-Based Bayesian Classification Algorithm. ANTS 2012: 13-24

Matthew Medland, Fernando E. B. Otero, Alex Alves Freitas: Improving the cAnt-MinerPB Classification Algorithm. ANTS 2012: 73-84

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

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

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

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)

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)

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)

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)

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)

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)

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)

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)

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

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

Antonio LaTorre, José María Peña, Santiago Muelas, Alex Alves Freitas: Learning hybridization strategies in evolutionary algorithms. Intell. Data Anal. 14(3): 333-354 (2010)

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)

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)

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)

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

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

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

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

Alex Alves Freitas: A Review of Evolutionary Algorithms for Data Mining. Data Mining and Knowledge Discovery Handbook 2010: 371-400

Gisele L. Pappa, Alex Alves Freitas: Creating Rule Ensembles from Automatically-Evolved Rule Induction Algorithms. Advances in Machine Learning I 2010: 257-273

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)

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)

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)

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)

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)

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)

Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson: Handling continuous attributes in Ant Colony Classification algorithms. CIDM 2009: 225-231

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

Denise Fukumi Tsunoda, Heitor S. Lopes, Alex Alves Freitas: A Hybrid Evolutionary Approach for the Protein Classification Problem. ICCCI 2009: 629-640

Carlos Nascimento Silla Jr., Alex Alves Freitas: A Global-Model Naive Bayes Approach to the Hierarchical Prediction of Protein Functions. ICDM 2009: 992-997

Denise Fukumi Tsunoda, Alex Alves Freitas, Heitor S. Lopes: MAHATMA: A Genetic Programming-Based Tool for Protein Classification. ISDA 2009: 1136-1142

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

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

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

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

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

Alex Alves Freitas, Gisele L. Pappa: Genetic Programming for Automatically Constructing Data Mining Algorithms. Encyclopedia of Data Warehousing and Mining 2009: 932-936

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)

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)

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)

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)

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

Nicholas Holden, Alex Alves Freitas: Improving the Performance of Hierarchical Classification with Swarm Intelligence. EvoBIO 2008: 48-60

Mudassar Iqbal, Alex Alves Freitas, Colin G. Johnson: Protein Interaction Inference Using Particle Swarm Optimization Algorithm. EvoBIO 2008: 61-70

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

Roberto Teixeira Alves, Myriam Regattieri Delgado, Alex Alves Freitas: Multi-label Hierarchical Classification of Protein Functions with Artificial Immune Systems. BSB 2008: 1-12

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

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

Alex Alves Freitas: A Review of evolutionary Algorithms for Data Mining. Soft Computing for Knowledge Discovery and Data Mining 2008: 79-111

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

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)

Alex Alves Freitas, Jonathan Timmis: Revisiting the Foundations of Artificial Immune Systems for Data Mining. IEEE Trans. Evolutionary Computation 11(4): 521-540 (2007)

Andrew Secker, Alex Alves Freitas: WAIRS: improving classification accuracy by weighting attributes in the AIRS classifier. IEEE Congress on Evolutionary Computation 2007: 3759-3765

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

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

Nicholas Holden, Alex Alves Freitas: A hybrid PSO/ACO algorithm for classification. GECCO (Companion) 2007: 2745-2750

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

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

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

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

Carem C. Fabris, Alex Alves Freitas: Discovering Surprising Instances of Simpson's Paradox in Hierarchical Multidimensional Data. IJDWM 2(1): 27-49 (2006)

Gisele L. Pappa, Alex Alves Freitas: Automatically Evolving Rule Induction Algorithms. ECML 2006: 341-352

Allen Chan, Alex Alves Freitas: A new ant colony algorithm for multi-label classification with applications in bioinfomatics. GECCO 2006: 27-34

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

James Smaldon, Alex Alves Freitas: A new version of the ant-miner algorithm discovering unordered rule sets. GECCO 2006: 43-50

Nick Miles, Alex Alves Freitas, Stephen Serjeant: Estimating photometric redshifts with genetic algorithms. GECCO 2006: 1593-1594

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)

Allen Chan, Alex Alves Freitas: A New Classification-Rule Pruning Procedure for an Ant Colony Algorithm. Artificial Evolution 2005: 25-36

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

Gisele L. Pappa, Anthony J. Baines, Alex Alves Freitas: Predicting post-synaptic activity in proteins with data mining. ECCB/JBI 2005: 25

Denise Fukumi Tsunoda, Heitor Silvério Lopes, Alex Alves Freitas: An Evolutionary Approach for Motif Discovery and Transmembrane Protein Classification. EvoWorkshops 2005: 105-114

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

Alex Alves Freitas: Evolutionary Algorithms for Data Mining. The Data Mining and Knowledge Discovery Handbook 2005: 435-467

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

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

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)

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)

Deborah R. Carvalho, Alex Alves Freitas: A hybrid decision tree/genetic algorithm method for data mining. Inf. Sci. 163(1-3): 13-35 (2004)

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)

Alex Alves Freitas: A critical review of multi-objective optimization in data mining: a position paper. SIGKDD Explorations 6(2): 77-86 (2004)

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

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

Nicholas Holden, Alex Alves Freitas: Web Page Classification with an Ant Colony Algorithm. PPSN 2004: 1092-1102

Ashish Ghosh, Alex Alves Freitas: Guest editorial data mining and knowledge discovery with evolutionary algorithms. IEEE Trans. Evolutionary Computation 7(6): 517-518 (2003)

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

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

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

Andrew Secker, Alex Alves Freitas, Jon Timmis: A Danger Theory Inspired Approach to Web Mining. ICARIS 2003: 156-167

Alex Alves Freitas, Jon Timmis: Revisiting the Foundations of Artificial Immune Systems: A Problem-Oriented Perspective. ICARIS 2003: 229-241

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)

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)

Otavio Larsen, Alex Alves Freitas, Júlio C. Nievola: Constructing X-of-N Attributes with a Genetic Algorithm. GECCO Late Breaking Papers 2002: 316-322

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

Deborah R. Carvalho, Alex Alves Freitas: A Genetic Algorithm With Sequential Niching For Discovering Small-disjunct Rules. GECCO 2002: 1035-1042

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

Otavio Larsen, Alex Alves Freitas, Júlio C. Nievola: Constructing X-of-n Attributes With A Genetic Algorithm. GECCO 2002: 1268

Fernando E. B. Otero, Monique M. S. Silva, Alex Alves Freitas: Genetic Programming For Attribute Construction In Data Mining. GECCO 2002: 1270

Joel Larocca Neto, Alex Alves Freitas, Celso A. A. Kaestner: Automatic Text Summarization Using a Machine Learning Approach. SBIA 2002: 205-215

Rafael S. Parpinelli, Heitor S. Lopes, Alex Alves Freitas: Mining Comprehensible Rules from Data with an Ant Colony Algorithm. SBIA 2002: 259-269

Gisele L. Pappa, Alex Alves Freitas, Celso A. A. Kaestner: Attribute Selection with a Multi-objective Genetic Algorithm. SBIA 2002: 280-290

Alex Alves Freitas: Understanding the Crucial Role of Attribute Interaction in Data Mining. Artif. Intell. Rev. 16(3): 177-199 (2001)

Alex Alves Freitas: Book Review: Data Mining Using Grammar-Based Genetic Programming and Applications. Genetic Programming and Evolvable Machines 2(2): 197-199 (2001)

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

Carem C. Fabris, Alex Alves Freitas: Incorporating Deviation-Detection Functionality into the OLAP Paradigm. SBBD 2001: 274-285

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)

Alex Alves Freitas: Understanding the Crucial Differences Between Classification and Discovery of Association Rules - A Position Paper. SIGKDD Explorations 2(1): 65-69 (2000)

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

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

Deborah R. Carvalho, Alex Alves Freitas: A Genetic Algorithm-Based Solution for the Problem of Small Disjuncts. PKDD 2000: 345-352

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

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)

Alex Alves Freitas: On rule interestingness measures. Knowl.-Based Syst. 12(5-6): 309-315 (1999)

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

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

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

Alex Alves Freitas: On Objective Measures of Rule Surprisingness. PKDD 1998: 1-9

Alex Alves Freitas: Scalable, High-Performance Data Mining with Parallel Processing. PKDD 1998: 477

Alex Alves Freitas: Towards Large-Scale Knowledge Discovery in Databases (KDD) by Exploiting Parallelism in Generic KDD Primitives. NGITS 1997: 0-

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

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

Alex Alves Freitas, Simon H. Lavington: Parallel Data Mining for Very Large Relational Databases. HPCN Europe 1996: 158-163