A hybrid decision tree/genetic algorithm method for data mining
Information Sciences: an International Journal - Special issue: Soft computing data mining
Evolving RBF neural networks for time-series forecasting with EvRBF
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Informatics and computer science intelligent systems applications
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Statistical Comparisons of Classifiers over Multiple Data Sets
The Journal of Machine Learning Research
A discretization algorithm based on Class-Attribute Contingency Coefficient
Information Sciences: an International Journal
Designing of classifiers based on immune principles and fuzzy rules
Information Sciences: an International Journal
A general framework for statistical performance comparison of evolutionary computation algorithms
Information Sciences: an International Journal
Greedy regression ensemble selection: Theory and an application to water quality prediction
Information Sciences: an International Journal
KEEL: a software tool to assess evolutionary algorithms for data mining problems
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on Evolutionary and Metaheuristics based Data Mining (EMBDM); Guest Editors: José A. Gámez, María J. del Jesús, José M. Puerta
Evolutionary product-unit neural networks classifiers
Neurocomputing
Incremental construction of classifier and discriminant ensembles
Information Sciences: an International Journal
Contingency matrix theory: Statistical dependence in a contingency table
Information Sciences: an International Journal
Handbook of Parametric and Nonparametric Statistical Procedures
Handbook of Parametric and Nonparametric Statistical Procedures
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Computational Intelligence: An Introduction
Computational Intelligence: An Introduction
IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems
Improving the performance of a pittsburgh learning classifier system using a default rule
IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation
Data mining with an ant colony optimization algorithm
IEEE Transactions on Evolutionary Computation
Using evolutionary algorithms as instance selection for data reduction in KDD: an experimental study
IEEE Transactions on Evolutionary Computation
Hybridization of fuzzy GBML approaches for pattern classification problems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Support vector learning for fuzzy rule-based classification systems
IEEE Transactions on Fuzzy Systems
Information Sciences: an International Journal
Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets
Pattern Recognition Letters
Information Sciences: an International Journal
IPADE: iterative prototype adjustment for nearest neighbor classification
IEEE Transactions on Neural Networks
Evolutionary selection of hyperrectangles in nested generalized exemplar learning
Applied Soft Computing
Particle swarm optimisation with simple and efficient neighbourhood search strategies
International Journal of Innovative Computing and Applications
Intelligent data analysis and model interpretation with spectral analysis fuzzy symbolic modeling
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
Empirical comparison of bagging ensembles created using weak learners for a regression problem
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
Enhancing particle swarm optimization using generalized opposition-based learning
Information Sciences: an International Journal
Feature selection in regression tasks using conditional mutual information
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Enhancing IPADE algorithm with a different individual codification
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
Evolutionary-based selection of generalized instances for imbalanced classification
Knowledge-Based Systems
Mining interestingness measures for string pattern mining
Knowledge-Based Systems
Information Sciences: an International Journal
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
Eigenclassifiers for combining correlated classifiers
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
On the use of cross-validation for time series predictor evaluation
Information Sciences: an International Journal
Evolutionary algorithms for the design of grid-connected PV-systems
Expert Systems with Applications: An International Journal
New results on minimum error entropy decision trees
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Exploring the behaviour of base classifiers in credit scoring ensembles
Expert Systems with Applications: An International Journal
An improved swarm optimized functional link artificial neural network (ISO-FLANN) for classification
Journal of Systems and Software
Information Sciences: an International Journal
Biological invasion-inspired migration in distributed evolutionary algorithms
Information Sciences: an International Journal
Generalised opposition-based differential evolution: an experimental study
International Journal of Computer Applications in Technology
Unsupervised classification of audio signals by self-organizing maps and bayesian labeling
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
Hybrid artificial intelligence approaches on vehicle routing problem in logistics distribution
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
PATMAP: polyadenylation site identification from next-generation sequencing data
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
On how percolation threshold affects PSO performance
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
Supervision strategy of a solar volumetric receiver using NN and rule based techniques
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
A predictive evolutionary algorithm for dynamic constrained inverse kinematics problems
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
Reasoning with qualitative velocity: towards a hybrid approach
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
Research of neural network classifier based on FCM and PSO for breast cancer classification
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
On employing fuzzy modeling algorithms for the valuation of residential premises
Information Sciences: an International Journal
Information Sciences: an International Journal
On the use of data filtering techniques for credit risk prediction with instance-based models
Expert Systems with Applications: An International Journal
Generation of a probabilistic fuzzy rule base by learning from examples
Information Sciences: an International Journal
Dynamic fusion method using Localized Generalization Error Model
Information Sciences: an International Journal
Information Sciences: an International Journal
Constraint projections for semi-supervised affinity propagation
Knowledge-Based Systems
Information Sciences: an International Journal
Journal of Parallel and Distributed Computing
Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data
Information Sciences: an International Journal
The CASH algorithm-cost-sensitive attribute selection using histograms
Information Sciences: an International Journal
HyDR-MI: A hybrid algorithm to reduce dimensionality in multiple instance learning
Information Sciences: an International Journal
Information Sciences: an International Journal
Diversity enhanced particle swarm optimization with neighborhood search
Information Sciences: an International Journal
Differential Evolution for automatic rule extraction from medical databases
Applied Soft Computing
A modification to classical evolutionary programming by shifting strategy parameters
Applied Intelligence
Developing Domain-Knowledge Evolutionary Algorithms for Network-on-Chip Application Mapping
Microprocessors & Microsystems
Protein structure prediction using distributed parallel particle swarm optimization
Natural Computing: an international journal
A harmony search algorithm for nurse rostering problems
Information Sciences: an International Journal
Discovering subgroups by means of genetic programming
EuroGP'13 Proceedings of the 16th European conference on Genetic Programming
An interpretable classification rule mining algorithm
Information Sciences: an International Journal
Adaptive Memetic Differential Evolution with Global and Local neighborhood-based mutation operators
Information Sciences: an International Journal
FRPS: A Fuzzy Rough Prototype Selection method
Pattern Recognition
Information Sciences: an International Journal
Classifier fusion with interval-valued weights
Pattern Recognition Letters
Journal of Computer and System Sciences
International Journal of Data Mining and Bioinformatics
Evaluating the perceived and estimated quality in use of Web 2.0 applications
Journal of Systems and Software
MOGA-based fuzzy data mining with taxonomy
Knowledge-Based Systems
Engineering Applications of Artificial Intelligence
Information Sciences: an International Journal
Fuzzy nearest neighbor algorithms: Taxonomy, experimental analysis and prospects
Information Sciences: an International Journal
CALA: An unsupervised URL-based web page classification system
Knowledge-Based Systems
Comparing evolutionary algorithms and particle filters for Markerless Human Motion Capture
Applied Soft Computing
Population based Local Search for university course timetabling problems
Applied Intelligence
Information Sciences: an International Journal
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Experimental analysis of the performance of a proposed method is a crucial and necessary task in an investigation. In this paper, we focus on the use of nonparametric statistical inference for analyzing the results obtained in an experiment design in the field of computational intelligence. We present a case study which involves a set of techniques in classification tasks and we study a set of nonparametric procedures useful to analyze the behavior of a method with respect to a set of algorithms, such as the framework in which a new proposal is developed. Particularly, we discuss some basic and advanced nonparametric approaches which improve the results offered by the Friedman test in some circumstances. A set of post hoc procedures for multiple comparisons is presented together with the computation of adjusted p-values. We also perform an experimental analysis for comparing their power, with the objective of detecting the advantages and disadvantages of the statistical tests described. We found that some aspects such as the number of algorithms, number of data sets and differences in performance offered by the control method are very influential in the statistical tests studied. Our final goal is to offer a complete guideline for the use of nonparametric statistical procedures for performing multiple comparisons in experimental studies.