Alex Alves Freitas
Orcid: 0000-0001-9825-4700Affiliations:
- University of Kent, UK
According to our database1,
Alex Alves Freitas
authored at least 233 papers
between 1996 and 2024.
Collaborative distances:
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Bibliography
2024
A lexicographic optimisation approach to promote more recent features on longitudinal decision-tree-based classifiers: applications to the English Longitudinal Study of Ageing.
Artif. Intell. Rev., 2024
2023
Interpretable Ensembles of Classifiers for Uncertain Data With Bioinformatics Applications.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Knowl. Eng. Rev., 2023
Stochastic local search and parameters recommendation: a case study on flowshop problems.
Int. Trans. Oper. Res., 2023
CoRR, 2023
2022
Evaluating the Predictive Performance of Positive- Unlabelled Classifiers: a brief critical review and practical recommendations for improvement.
SIGKDD Explor., 2022
How data-sharing nudges influence people's privacy preferences: A machine learning-based analysis.
EAI Endorsed Trans. Security Safety, 2022
Hierarchical Dependency Constrained Tree Augmented Naive Bayes Classifiers for Hierarchical Feature Spaces.
CoRR, 2022
Machine learning-based predictions of dietary restriction associations across ageing-related genes.
BMC Bioinform., 2022
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
New Variations of Random Survival Forests and Applications to Age-Related Disease Data.
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022
GA-auto-PU: a genetic algorithm-based automated machine learning system for positive-unlabeled learning.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Evaluating a New Genetic Algorithm for Automated Machine Learning in Positive-Unlabelled Learning.
Proceedings of the Artificial Evolution, 2022
2021
A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti-Longevity Genes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Knowl. Eng. Rev., 2021
An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms.
Evol. Intell., 2021
Artif. Intell. Rev., 2021
Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
2020
An evolutionary algorithm for automated machine learning focusing on classifier ensembles: An improved algorithm and extended results.
Theor. Comput. Sci., 2020
An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version).
CoRR, 2020
Bioinform., 2020
Investigating the role of Simpson's paradox in the analysis of top-ranked features in high-dimensional bioinformatics datasets.
Briefings Bioinform., 2020
Comparing enrichment analysis and machine learning for identifying gene properties that discriminate between gene classes.
Briefings Bioinform., 2020
Appl. Intell., 2020
A New Random Forest Method for Longitudinal Data Classification Using a Lexicographic Bi-Objective Approach.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Hierarchical Dependency Constrained Averaged One-Dependence Estimators Classifiers for Hierarchical Feature Spaces.
Proceedings of the International Conference on Probabilistic Graphical Models, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020
2019
Stochastic model genetic programming: Deriving pricing equations for rainfall weather derivatives.
Swarm Evol. Comput., 2019
Proceedings of the Artificial Intelligence XXXVI, 2019
Proceedings of the Machine Learning, Optimization, and Data Science, 2019
Automated Machine Learning for Studying the Trade-Off Between Predictive Accuracy and Interpretability.
Proceedings of the Machine Learning and Knowledge Extraction, 2019
2018
Inf. Sci., 2018
A new approach for interpreting Random Forest models and its application to the biology of ageing.
Bioinform., 2018
Decomposition genetic programming: An extensive evaluation on rainfall prediction in the context of weather derivatives.
Appl. Soft Comput., 2018
An empirical evaluation of hierarchical feature selection methods for classification in bioinformatics datasets with gene ontology-based features.
Artif. Intell. Rev., 2018
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
Automated Selection and Configuration of Multi-Label Classification Algorithms with Grammar-Based Genetic Programming.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
A Novel Evolutionary Algorithm for Automated Machine Learning Focusing on Classifier Ensembles.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
2017
A revision and analysis of the comprehensiveness of the main longitudinal studies of human aging for data mining research.
WIREs Data Mining Knowl. Discov., 2017
An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives.
Expert Syst. Appl., 2017
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017
Towards a method for automatically selecting and configuring multi-label classification algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017
2016
An Extensive Empirical Comparison of Probabilistic Hierarchical Classifiers in Datasets of Ageing-Related Genes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016
A novel applicability domain technique for mapping predictive reliability across the chemical space of a QSAR: reliability-density neighbourhood.
J. Cheminformatics, 2016
Improving the Interpretability of Classification Rules Discovered by an Ant Colony Algorithm: Extended Results.
Evol. Comput., 2016
A New Hierarchical Redundancy Eliminated Tree Augmented Naive Bayes Classifier for Coping with Gene Ontology-based Features.
CoRR, 2016
New KEGG pathway-based interpretable features for classifying ageing-related mouse proteins.
Bioinform., 2016
A Genetic Decomposition Algorithm for Predicting Rainfall within Financial Weather Derivatives.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-14231-9, 2015
Predicting the Pro-Longevity or Anti-Longevity Effect of Model Organism Genes with New Hierarchical Feature Selection Methods.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
Predicting volume of distribution with decision tree-based regression methods using predicted tissue: plasma partition coefficients.
J. Cheminformatics, 2015
Intell. Data Anal., 2015
An Extensive Evaluation of Decision Tree-Based Hierarchical Multilabel Classification Methods and Performance Measures.
Comput. Intell., 2015
Predicting Rainfall in the Context of Rainfall Derivatives Using Genetic Programming.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
A Novel Extended Hierarchical Dependence Network Method Based on Non-hierarchical Predictive Classes and Applications to Ageing-Related Data.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015
A Lexicographic Multi-Objective Genetic Algorithm for Multi-Label Correlation Based Feature Selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Simpler is Better: a Novel Genetic Algorithm to Induce Compact Multi-label Chain Classifiers.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
Proceedings of the 15th IEEE International Conference on Bioinformatics and Bioengineering, 2015
Two methods for constructing a gene ontology-based feature network for a Bayesian network classifier and applications to datasets of aging-related genes.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015
2014
Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets.
IEEE Trans. Evol. Comput., 2014
Swarm Evol. Comput., 2014
Memetic Comput., 2014
J. Inf. Data Manag., 2014
Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation.
Inf. Sci., 2014
Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms.
Genet. Program. Evolvable Mach., 2014
Distinct Chains for Different Instances: An Effective Strategy for Multi-label Classifier Chains.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Evolving relational hierarchical classification rules for predicting gene ontology-based protein functions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
An Efficient Algorithm for Hierarchical Classification of Protein and Gene Functions.
Proceedings of the 25th International Workshop on Database and Expert Systems Applications, 2014
Dependency network methods for Hierarchical Multi-label Classification of gene functions.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014
Extending multi-label feature selection with KEGG pathway information for microarray data analysis.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2014
2013
A New Sequential Covering Strategy for Inducing Classification Rules With Ant Colony Algorithms.
IEEE Trans. Evol. Comput., 2013
Swarm Intell., 2013
J. Chem. Inf. Model., 2013
J. Chem. Inf. Model., 2013
Evol. Comput., 2013
Utilizing multiple pheromones in an ant-based algorithm for continuous-attribute classification rule discovery.
Appl. Soft Comput., 2013
Two Extensions to Multi-label Correlation-Based Feature Selection: A Case Study in Bioinformatics.
Proceedings of the IEEE International Conference on Systems, 2013
Probabilistic Clustering for Hierarchical Multi-Label Classification of Protein Functions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Proceedings of the Nature Inspired Cooperative Strategies for Optimization (NICSO 2013), 2013
A Genetic Algorithm for Optimizing the Label Ordering in Multi-label Classifier Chains.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013
Evaluating the use of different measure functions in the predictive quality of ABC-miner.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Improving the interpretability of classification rules discovered by an ant colony algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
ACO-Based Bayesian Network Ensembles for the Hierarchical Classification of Ageing-Related Proteins.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2013
An Extended Local Hierarchical Classifier for Prediction of Protein and Gene Functions.
Proceedings of the Data Warehousing and Knowledge Discovery, 2013
Clustering-based Bayesian Multi-net Classifier construction with Ant Colony Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Investigating the impact of various classification quality measures in the predictive accuracy of ABC-Miner.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
A grammatical evolution algorithm for generation of Hierarchical Multi-Label Classification rules.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Prediction of the pro-longevity or anti-longevity effect of Caenorhabditis Elegans genes based on Bayesian classification methods.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
2012
IEEE Trans. Syst. Man Cybern. Part C, 2012
Appl. Soft Comput., 2012
A Multi-Label Correlation-Based Feature Selection Method for the Classification of Neuroblastoma Microarray Data.
Proceedings of the Advances in Data Mining, 12th Industrial Conference, 2012
A hyper-heuristic evolutionary algorithm for automatically designing decision-tree algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
AutoClustering: An estimation of distribution algorithm for the automatic generation of clustering algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Proceedings of the Swarm Intelligence - 8th International Conference, 2012
Proceedings of the Swarm Intelligence - 8th International Conference, 2012
2011
Multiple pheromone types and other extensions to the Ant-Miner classification rule discovery algorithm.
Swarm Intell., 2011
Soft Comput., 2011
Stat. Anal. Data Min., 2011
Selecting different protein representations and classification algorithms in hierarchical protein function prediction.
Intell. Data Anal., 2011
Intell. Data Anal., 2011
Adapting non-hierarchical multilabel classification methods for hierarchical multilabel classification.
Intell. Data Anal., 2011
Data Min. Knowl. Discov., 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
2010
Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010
On the Importance of Comprehensible Classification Models for Protein Function Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2010
A hierarchical multi-label classification ant colony algorithm for protein function prediction.
Memetic Comput., 2010
Hierarchical classification of G-Protein-Coupled Receptors with data-driven selection of attributes and classifiers.
Int. J. Data Min. Bioinform., 2010
Intell. Data Anal., 2010
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010
An estimation of distribution algorithm for the automatic generation of clustering algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
Knowledge discovery with Artificial Immune Systems for hierarchical multi-label classification of protein functions.
Proceedings of the FUZZ-IEEE 2010, 2010
2009
An Empirical Evaluation of the Effectiveness of Different Types of Predictor Attributes in Protein Function Prediction.
Proceedings of the Foundations of Computational Intelligence, 2009
Proceedings of the Foundations of Computational Intelligence, 2009
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
IEEE Trans. Syst. Man Cybern. Part C, 2009
Hierarchical classification of protein function with ensembles of rules and particle swarm optimisation.
Soft Comput., 2009
Evolving rule induction algorithms with multi-objective grammar-based genetic programming.
Knowl. Inf. Syst., 2009
An Artificial Immune System for Clustering Amino Acids in the Context of Protein Function Classification.
J. Math. Model. Algorithms, 2009
Int. J. Bio Inspired Comput., 2009
Automatically evolving rule induction algorithms tailored to the prediction of postsynaptic activity in proteins.
Intell. Data Anal., 2009
Novel Top-Down Approaches for Hierarchical Classification and Their Application to Automatic Music Genre Classification.
Proceedings of the IEEE International Conference on Systems, 2009
Proceedings of the SIAM International Conference on Data Mining, 2009
LEGAL-tree: a lexicographic multi-objective genetic algorithm for decision tree induction.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
A Global-Model Naive Bayes Approach to the Hierarchical Prediction of Protein Functions.
Proceedings of the ICDM 2009, 2009
Proceedings of the Computational Collective Intelligence. Semantic Web, 2009
A Hierarchical Classification Ant Colony Algorithm for Predicting Gene Ontology Terms.
Proceedings of the Evolutionary Computation, 2009
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009
2008
Proceedings of the Soft Computing for Knowledge Discovery and Data Mining, 2008
Proceedings of the Soft Computing for Knowledge Discovery and Data Mining, 2008
Proceedings of the Computational Intelligence in Biomedicine and Bioinformatics, 2008
Fuzzy rule induction and artificial immune systems in female breast cancer familiarity profiling.
Int. J. Hybrid Intell. Syst., 2008
Message-passing algorithms for the prediction of protein domain interactions from protein-protein interaction data.
Bioinform., 2008
AISIID: An artificial immune system for interesting information discovery on the web.
Appl. Soft Comput., 2008
Top-Down Hierarchical Ensembles of Classifiers for Predicting G-Protein-Coupled-Receptor Functions.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2008
Multi-label Hierarchical Classification of Protein Functions with Artificial Immune Systems.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2008
An Artificial Immune System for Evolving Amino Acid Clusters Tailored to Protein Function Prediction.
Proceedings of the Artificial Immune Systems, 7th International Conference, 2008
Proceedings of the Evolutionary Computation, 2008
Proceedings of the Evolutionary Computation, 2008
cAnt-Miner: An Ant Colony Classification Algorithm to Cope with Continuous Attributes.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2008
2007
IEEE Trans. Evol. Comput., 2007
Comparing Several Approaches for Hierarchical Classification of Proteins with Decision Trees.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2007
Proceedings of the XXII Simpósio Brasileiro de Banco de Dados, 2007
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007
Induction of fuzzy rules with artificial immune systems in acgh based er status breast cancer characterization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
Particle swarm and bayesian networks applied to attribute selection for protein functional classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
WAIRS: improving classification accuracy by weighting attributes in the AIRS classifier.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
Discovering Surprising Instances of Simpson's Paradox in Hierarchical Multidimensional Data.
Int. J. Data Warehous. Min., 2006
Improving the Interpretability of Classification Rules in Sparse Bioinformatics Datasets.
Proceedings of the Research and Development in Intelligent Systems XXIII, 2006
Proceedings of the Applications and Innovations in Intelligent Systems XIV, 2006
Proceedings of the Applications and Innovations in Intelligent Systems XIV, 2006
Proceedings of the Genetic and Evolutionary Computation Conference, 2006
Proceedings of the Genetic and Evolutionary Computation Conference, 2006
A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006
A new ant colony algorithm for multi-label classification with applications in bioinfomatics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006
Proceedings of the Machine Learning: ECML 2006, 2006
2005
Evaluating Six Candidate Solutions for the Small-Disjunct Problem and Choosing the Best Solution via Meta-Learning.
Artif. Intell. Rev., 2005
A hybrid particle swarm/ant colony algorithm for the classification of hierarchical biological data.
Proceedings of the 2005 IEEE Swarm Intelligence Symposium, 2005
Evaluating the Correlation Between Objective Rule Interestingness Measures and Real Human Interest.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005
An Evolutionary Approach for Motif Discovery and Transmembrane Protein Classification.
Proceedings of the Applications of Evolutionary Computing, 2005
Proceedings of the ECCB/JBI'05 Proceedings, Fourth European Conference on Computational Biology/Sixth Meeting of the Spanish Bioinformatics Network (Jornadas de BioInformática), Palacio de Congresos, Madrid, Spain, September 28, 2005
Using Genetic Algorithms to Mine Interesting Dependence Modeling Rules.
Proceedings of the IASTED International Conference on Databases and Applications, 2005
Proceedings of the Artificial Evolution, 2005
Evolutionary Algorithms for Data Mining.
Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005
Proceedings of the Encyclopedia of Information Science and Technology (5 Volumes), 2005
2004
SIGKDD Explor., 2004
Numer. Algorithms, 2004
Discovering interesting knowledge from a science and technology database with a genetic algorithm.
Appl. Soft Comput., 2004
A constrained-syntax genetic programming system for discovering classification rules: application to medical data sets.
Artif. Intell. Medicine, 2004
Proceedings of the Parallel Problem Solving from Nature, 2004
Proceedings of the Parallel Problem Solving from Nature, 2004
Proceedings of the Advances in Artificial Intelligence, 2004
2003
IEEE Trans. Evol. Comput., 2003
Proceedings of the Artificial Immune Systems, Second International Conference, 2003
Revisiting the Foundations of Artificial Immune Systems: A Problem-Oriented Perspective.
Proceedings of the Artificial Immune Systems, Second International Conference, 2003
Proceedings of the Genetic Programming, 6th European Conference, EuroGP 2003, 2003
An Innovative Application of a Constrained-Syntax Genetic Programming System to the Problem of Predicting Survival of Patients.
Proceedings of the Genetic Programming, 6th European Conference, EuroGP 2003, 2003
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
2002
IEEE Trans. Evol. Comput., 2002
Appl. Soft Comput., 2002
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics: Bridging the Digital Divide, Yasmine Hammamet, Tunisia, October 6-9, 2002, 2002
Proceedings of the Advances in Artificial Intelligence, 2002
Proceedings of the Advances in Artificial Intelligence, 2002
Proceedings of the Advances in Artificial Intelligence, 2002
A Genetic Algorithm For Discovering Interesting Fuzzy Prediction Rules: Applications To Science And Technology Data.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002
Genetic Programming For Attribute Construction In Data Mining.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002
Constructing X-of-n Attributes With A Genetic Algorithm.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002
A Genetic Algorithm With Sequential Niching For Discovering Small-disjunct Rules.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002
2001
Genet. Program. Evolvable Mach., 2001
Artif. Intell. Rev., 2001
Incorporating Deviation-Detection Functionality into the OLAP Paradigm.
Proceedings of the XVI Simpósio Brasileiro de Banco de Dados, 2001
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2001
2000
Understanding the Crucial Differences Between Classification and Discovery of Association Rules - A Position Paper.
SIGKDD Explor., 2000
Proceedings of the Advances in Artificial Intelligence, 2000
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000
Comparing a Genetic Algorithm with a Rule Induction Algorithm in the Data Mining Task of Dependence Modeling.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000
A hybrid decision tree/genetic algorithm for coping with the problem of small disjuncts in data mining.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000
Proceedings of the 2000 Congress on Evolutionary Computation, 2000
1999
Inf. Softw. Technol., 1999
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999
Discovering comprehensible classification rules by using Genetic Programming: a case study in a medical domain.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999
1998
Mining very large databases with parallel processing.
Advances in Database Systems 9, Kluwer, ISBN: 978-0-7923-8048-1, 1998
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1998
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1998
1997
The Pronciple of Transformation between Efficiency and Effectiveness: Towards a Fair Evaluation of the Cost-Effectiveness of KDD Techniques.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1997
Towards Large-Scale Knowledge Discovery in Databases (KDD) by Exploiting Parallelism in Generic KDD Primitives.
Proceedings of the Next Generation Information Technologies and Systems (NGITS '97), Third International Workshop, Neve Ilan, Israel, June 30, 1997
1996
Proceedings of the High-Performance Computing and Networking, 1996
Speeding up Knowledge Discovery in Large Relational Databases by Means of a New Discretization Algorithm.
Proceedings of the Advances in Databases, 14th British National Conferenc on Databases, 1996