Swarm intelligence
Machine Learning
Data Mining and Knowledge Discovery with Evolutionary Algorithms
Data Mining and Knowledge Discovery with Evolutionary Algorithms
Parameter Selection in Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Exploring extended particle swarms: a genetic programming approach
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Extending particle swarm optimisers with self-organized criticality
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
A PSO-based clustering algorithm for manufacturing cell design
Proceedings of the 1st international conference on Forensic applications and techniques in telecommunications, information, and multimedia and workshop
Journal of Artificial Evolution and Applications - Particle Swarms: The Second Decade
Hybridization of PSO and a Discrete Position Update Scheme Techniques for Manufacturing Cell Design
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Collaborative particle swarm optimization with a data mining technique for manufacturing cell design
Expert Systems with Applications: An International Journal
On the Importance of Comprehensible Classification Models for Protein Function Prediction
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Discrete Particle Swarm Optimization for the minimum labelling Steiner tree problem
Natural Computing: an international journal
EvoBIO'08 Proceedings of the 6th European conference on Evolutionary computation, machine learning and data mining in bioinformatics
Optimization of modular structures using Particle Swarm Optimization
Expert Systems with Applications: An International Journal
Discrete particle swarm optimisation for ontology alignment
Information Sciences: an International Journal
Particle swarm optimization with two swarms for the discrete (r|p)-centroid problem
EUROCAST'11 Proceedings of the 13th international conference on Computer Aided Systems Theory - Volume Part I
More than the sum of its parts --- holistic ontology alignment by population-based optimisation
FoIKS'12 Proceedings of the 7th international conference on Foundations of Information and Knowledge Systems
A hybrid network intrusion detection system using simplified swarm optimization (SSO)
Applied Soft Computing
New Hybrid Discrete PSO for Solving Non Convex Trim Loss Problem
International Journal of Applied Evolutionary Computation
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Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into classes or categories of the same type. The use of variables (attributes) not related to the classes can reduce the accuracy and reliability of a classification or prediction model. Superuous variables can also increase the costs of building a model - particularly on large data sets. We propose a discrete Particle Swarm Optimization (PSO) algorithm designed for attribute selection. The proposed algorithm deals with discrete variables, and its population of candidate solutions contains particles of different sizes. The performance of this algorithm is compared with the performance of a standard binary PSO algorithm on the task of selecting attributes in a bioinformatics data set. The criteria used for comparison are: (1) maximizing predictive accuracy; and (2) finding the smallest subset of attributes.