The general employee scheduling problem: an integration of MS and AI
Computers and Operations Research - Special issue: Applications of integer programming
Instance-Based Learning Algorithms
Machine Learning
The nature of statistical learning theory
The nature of statistical learning theory
Editing for the k-nearest neighbors rule by a genetic algorithm
Pattern Recognition Letters - Special issue on genetic algorithms
Selection of relevant features and examples in machine learning
Artificial Intelligence - Special issue on relevance
Reduction Techniques for Instance-BasedLearning Algorithms
Machine Learning
An Algorithm for Finding Best Matches in Logarithmic Expected Time
ACM Transactions on Mathematical Software (TOMS)
On Issues of Instance Selection
Data Mining and Knowledge Discovery
Advances in Instance Selection for Instance-Based Learning Algorithms
Data Mining and Knowledge Discovery
A Maximum Variance Cluster Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stratification for scaling up evolutionary prototype selection
Pattern Recognition Letters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Maxdiff kd-trees for data condensation
Pattern Recognition Letters
The Generalized Condensed Nearest Neighbor Rule as A Data Reduction Method
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
A memetic algorithm for evolutionary prototype selection: A scaling up approach
Pattern Recognition
Prototype reduction using an artificial immune model
Pattern Analysis & Applications - Special Issue: Non-parametric distance-based classification techniques and their applications
A divide-and-conquer recursive approach for scaling up instance selection algorithms
Data Mining and Knowledge Discovery
Prototype selection based on sequential search
Intelligent Data Analysis
A divide-and-conquer approach to the pairwise opposite class-nearest neighbor (POC-NN) algorithm
Pattern Recognition Letters
SV-kNNC: an algorithm for improving the efficiency of k-nearest neighbor
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Transforming strings to vector spaces using prototype selection
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Sequential search for decremental edition
IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning
A stochastic approach to wilson's editing algorithm
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
Support vector based prototype selection method for nearest neighbor rules
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Nearest prototype classification: clustering, genetic algorithms, or random search?
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Using evolutionary algorithms as instance selection for data reduction in KDD: an experimental study
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Granular instances selection for fuzzy modeling
MLDM'11 Proceedings of the 7th international conference on Machine learning and data mining in pattern recognition
The inductive software engineering manifesto: principles for industrial data mining
Proceedings of the International Workshop on Machine Learning Technologies in Software Engineering
Noisy data elimination using mutual k-nearest neighbor for classification mining
Journal of Systems and Software
An incremental class boundary preserving hypersphere classifier
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
Data and feature reduction in fuzzy modeling through particle swarm optimization
Applied Computational Intelligence and Soft Computing
InstanceRank based on borders for instance selection
Pattern Recognition
Efficient dataset size reduction by finding homogeneous clusters
Proceedings of the Fifth Balkan Conference in Informatics
On instance selection in audio based emotion recognition
ANNPR'12 Proceedings of the 5th INNS IAPR TC 3 GIRPR conference on Artificial Neural Networks in Pattern Recognition
Pattern Recognition Letters
AIB2: an abstraction data reduction technique based on IB2
Proceedings of the 6th Balkan Conference in Informatics
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 supervised learning, a training set providing previously known information is used to classify new instances. Commonly, several instances are stored in the training set but some of them are not useful for classifying therefore it is possible to get acceptable classification rates ignoring non useful cases; this process is known as instance selection. Through instance selection the training set is reduced which allows reducing runtimes in the classification and/or training stages of classifiers. This work is focused on presenting a survey of the main instance selection methods reported in the literature.