Communications of the ACM - Special issue on parallelism
Editing for the k-nearest neighbors rule by a genetic algorithm
Pattern Recognition Letters - Special issue on genetic algorithms
Tolerance approximation spaces
Fundamenta Informaticae - Special issue: rough sets
Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
Reduction Techniques for Instance-BasedLearning Algorithms
Machine Learning
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Data Mining and Knowledge Discovery with Evolutionary Algorithms
Data Mining and Knowledge Discovery with Evolutionary Algorithms
On Issues of Instance Selection
Data Mining and Knowledge Discovery
Discretization: An Enabling Technique
Data Mining and Knowledge Discovery
A comparative study of fuzzy rough sets
Fuzzy Sets and Systems
A Generalized Definition of Rough Approximations Based on Similarity
IEEE Transactions on Knowledge and Data Engineering
Design of an optimal nearest neighbor classifier using an intelligent genetic algorithm
Pattern Recognition Letters
Evolution of Reference Sets in Nearest Neighbor Classification
SEAL'98 Selected papers from the Second Asia-Pacific Conference on Simulated Evolution and Learning on Simulated Evolution and Learning
An introduction to variable and feature selection
The Journal of Machine Learning Research
Hybrid Genetic Algorithms for Feature Selection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nearest Neighbor Search: A Database Perspective
Nearest Neighbor Search: A Database Perspective
Toward Integrating Feature Selection Algorithms for Classification and Clustering
IEEE Transactions on Knowledge and Data Engineering
Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (Neural Information Processing)
Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (Neural Information Processing)
Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing)
Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing)
Information Sciences: an International Journal
Dominance-based rough set approach and knowledge reductions in incomplete ordered information system
Information Sciences: an International Journal
A review of feature selection techniques in bioinformatics
Bioinformatics
A memetic algorithm for evolutionary prototype selection: A scaling up approach
Pattern Recognition
Making CN2-SD subgroup discovery algorithm scalable to large size data sets using instance selection
Expert Systems with Applications: 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
A method of learning weighted similarity function to improve the performance of nearest neighbor
Information Sciences: an International Journal
Distance Metric Learning for Large Margin Nearest Neighbor Classification
The Journal of Machine Learning Research
Similarity-based Classification: Concepts and Algorithms
The Journal of Machine Learning Research
Improved heterogeneous distance functions
Journal of Artificial Intelligence Research
Attribute selection with fuzzy decision reducts
Information Sciences: an International Journal
New approaches to fuzzy-rough feature selection
IEEE Transactions on Fuzzy Systems
Artificial neural networks with evolutionary instance selection for financial forecasting
Expert Systems with Applications: An International Journal
Introduction to Machine Learning
Introduction to Machine Learning
Information Sciences: an International Journal
Approximation Spaces in Rough-Granular Computing
Fundamenta Informaticae - Understanding Computers' Intelligence Celebrating the 100th Volume of Fundamenta Informaticae in Honour of Helena Rasiowa
IPADE: iterative prototype adjustment for nearest neighbor classification
IEEE Transactions on Neural Networks
Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical Study
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using evolutionary algorithms as instance selection for data reduction in KDD: an experimental study
IEEE Transactions on Evolutionary Computation
Fuzzy-Rough Sets Assisted Attribute Selection
IEEE Transactions on Fuzzy Systems
Attributes Reduction Using Fuzzy Rough Sets
IEEE Transactions on Fuzzy Systems
Nearest neighbor pattern classification
IEEE Transactions on Information Theory
A Taxonomy and Experimental Study on Prototype Generation for Nearest Neighbor Classification
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Approximations and uncertainty measures in incomplete information systems
Information Sciences: an International Journal
Rough sets in the Soft Computing environment
Information Sciences: an International Journal
A novel and better fitness evaluation for rough set based minimum attribute reduction problem
Information Sciences: an International Journal
A scalable approach to simultaneous evolutionary instance and feature selection
Information Sciences: an International Journal
Decision rule mining using classification consistency rate
Knowledge-Based Systems
Intelligent feature and instance selection to improve nearest neighbor classifiers
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
Entropy measures and granularity measures for set-valued information systems
Information Sciences: an International Journal
Hybridising harmony search with a Markov blanket for gene selection problems
Information Sciences: an International Journal
Fuzzy nearest neighbor algorithms: Taxonomy, experimental analysis and prospects
Information Sciences: an International Journal
A random forest classifier for lymph diseases
Computer Methods and Programs in Biomedicine
On the use of meta-learning for instance selection: An architecture and an experimental study
Information Sciences: an International Journal
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In recent years, fuzzy rough set theory has emerged as a suitable tool for performing feature selection. Fuzzy rough feature selection enables us to analyze the discernibility of the attributes, highlighting the most attractive features in the construction of classifiers. However, its results can be enhanced even more if other data reduction techniques, such as instance selection, are considered. In this work, a hybrid evolutionary algorithm for data reduction, using both instance and feature selection, is presented. A global process of instance selection, carried out by a steady-state genetic algorithm, is combined with a fuzzy rough set based feature selection process, which searches for the most interesting features to enhance both the evolutionary search process and the final preprocessed data set. The experimental study, the results of which have been contrasted through nonparametric statistical tests, shows that our proposal obtains high reduction rates on training sets which greatly enhance the behavior of the nearest neighbor classifier.