Management Science
On changing continuous attributes into ordered discrete attributes
EWSL-91 Proceedings of the European working session on learning on Machine learning
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
Machine Learning - Special issue on learning with probabilistic representations
Multivariate discretization of continuous variables for set mining
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Expert Systems and Probabiistic Network Models
Expert Systems and Probabiistic Network Models
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
A Survey of Optimization by Building and Using Probabilistic Models
Computational Optimization and Applications
Class-Dependent Discretization for Inductive Learning from Continuous and Mixed-Mode Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine Learning
Search-Based Class Discretization
ECML '97 Proceedings of the 9th European Conference on Machine Learning
Extending Population-Based Incremental Learning to Continuous Search Spaces
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
An Evolutionary Algorithm Using Multivariate Discretization for Decision Rule Induction
PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
From Recombination of Genes to the Estimation of Distributions I. Binary Parameters
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
Combinatonal Optimization by Learning and Simulation of Bayesian Networks
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Chi2: Feature Selection and Discretization of Numeric Attributes
TAI '95 Proceedings of the Seventh International Conference on Tools with Artificial Intelligence
IEEE Transactions on Knowledge and Data Engineering
Khiops: A Statistical Discretization Method of Continuous Attributes
Machine Learning
A greedy algorithm for supervised discretization
Journal of Biomedical Informatics - Special issue: Biomedical machine learning
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Optimal bin number for equal frequency discretizations in supervized learning
Intelligent Data Analysis
Statistical Comparisons of Classifiers over Multiple Data Sets
The Journal of Machine Learning Research
A global optimal algorithm for class-dependent discretization of continuous data
Intelligent Data Analysis
The equation for response to selection and its use for prediction
Evolutionary Computation
Fda -a scalable evolutionary algorithm for the optimization of additively decomposed functions
Evolutionary Computation
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Khiops: a discretization method of continuous attributes with guaranteed resistance to noise
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
Natural coding: a more efficient representation for evolutionary learning
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Nonuniform dynamic discretization in hybrid networks
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
A grouping method for categorical attributes having very large number of values
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Multivariate discretization by recursive supervised bipartition of graph
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Supervised evaluation of dataset partitions: advantages and practice
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
IEEE Transactions on Evolutionary Computation
On the convergence of a class of estimation of distribution algorithms
IEEE Transactions on Evolutionary Computation
Feature subset selection by genetic algorithms and estimation of distribution algorithms
Artificial Intelligence in Medicine
The Knowledge Engineering Review
Artificial Intelligence in Medicine
A review on evolutionary algorithms in Bayesian network learning and inference tasks
Information Sciences: an International Journal
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We present a supervised wrapper approach to discretization. In contrast to many classical approaches, the discretization process is multivariate: all variables are discretized simultaneously, and the proposed discretization is evaluated with the Naive-Bayes classifier. The search for the optimal discretization is carried out as an optimization process with the learning model estimated accuracy guiding it. The global optimization algorithm is based on estimation of distribution algorithms, a set of novel algorithms which are special kinds of evolutionary algorithms. In order to evaluate the behaviour of the algorithm, an analysis of different parameters is performed by means of analysis of variance (ANOVA). The evaluation was carried out using artificial datasets, and with UCI datasets. The results suggest that the proposed method provides an effective and robust technique for discretizating variables.