A note on genetic algorithms for large-scale feature selection
Pattern Recognition Letters
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
The Ant System Applied to the Quadratic Assignment Problem
IEEE Transactions on Knowledge and Data Engineering
Feature Subset Selection Using a Genetic Algorithm
IEEE Intelligent Systems
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Further Research on Feature Selection and Classification Using Genetic Algorithms
Proceedings of the 5th International Conference on Genetic Algorithms
Term Weighting Approaches in Automatic Text Retrieval
Term Weighting Approaches in Automatic Text Retrieval
A new algorithm for a Dynamic Vehicle Routing Problem based on Ant Colony System
A new algorithm for a Dynamic Vehicle Routing Problem based on Ant Colony System
Feature selection from huge feature sets in the context of computer vision
Feature selection from huge feature sets in the context of computer vision
An extensive empirical study of feature selection metrics for text classification
The Journal of Machine Learning Research
Dimension Reduction in Text Classification with Support Vector Machines
The Journal of Machine Learning Research
Ant colony optimization theory: a survey
Theoretical Computer Science
Fundamentals of Computational Swarm Intelligence
Fundamentals of Computational Swarm Intelligence
Feature selection based on rough sets and particle swarm optimization
Pattern Recognition Letters
A novel feature selection algorithm for text categorization
Expert Systems with Applications: An International Journal
EvoBIO'08 Proceedings of the 6th European conference on Evolutionary computation, machine learning and data mining in bioinformatics
Feature selection for dimensionality reduction
SLSFS'05 Proceedings of the 2005 international conference on Subspace, Latent Structure and Feature Selection
Dimensionality reduction using genetic algorithms
IEEE Transactions on Evolutionary Computation
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
The hyper-cube framework for ant colony optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A novel hybrid ACO-GA algorithm for text feature selection
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
Involving New Local Search in Hybrid Genetic Algorithm for Feature Selection
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
An Efficient Feature Selection Using Ant Colony Optimization Algorithm
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Decision support for the maintenance management of green areas
Expert Systems with Applications: An International Journal
Text-independent speaker verification using ant colony optimization-based selected features
Expert Systems with Applications: An International Journal
Feature selection using ant colony optimization for text-independent speaker verification system
ISICA'10 Proceedings of the 5th international conference on Advances in computation and intelligence
The best-so-far selection in Artificial Bee Colony algorithm
Applied Soft Computing
Ants with three primary colors for track initiation
Expert Systems with Applications: An International Journal
Feature subset selection using differential evolution and a statistical repair mechanism
Expert Systems with Applications: An International Journal
Feature selection strategies for automated classification of digital media content
Journal of Information Science
A novel ensemble algorithm for biomedical classification based on Ant Colony Optimization
Applied Soft Computing
A new hybrid ant colony optimization algorithm for feature selection
Expert Systems with Applications: An International Journal
A parallel ACO algorithm to select terms to categorise longer documents
International Journal of Computational Science and Engineering
Computers in Biology and Medicine
An enhanced ACO algorithm to select features for text categorization and its parallelization
Expert Systems with Applications: An International Journal
Particle swarm optimization for feature selection in speaker verification
EvoApplicatons'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part I
SVM classifier based feature selection using GA, ACO and PSO for siRNA design
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part II
Dimensional reduction based on artificial bee colony for classification problems
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
CybercrimeIR --- a technological perspective to fight cybercrime
PAISI'12 Proceedings of the 2012 Pacific Asia conference on Intelligence and Security Informatics
A method for avoiding the searching bias in ACO deceptive problem solving
Web Intelligence and Agent Systems
A neuro-fuzzy immune inspired classifier for task-oriented texts
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 12.06 |
Feature selection and feature extraction are the most important steps in classification systems. Feature selection is commonly used to reduce dimensionality of datasets with tens or hundreds of thousands of features which would be impossible to process further. One of the problems in which feature selection is essential is text categorization. A major problem of text categorization is the high dimensionality of the feature space; therefore, feature selection is the most important step in text categorization. At present there are many methods to deal with text feature selection. To improve the performance of text categorization, we present a novel feature selection algorithm that is based on ant colony optimization. Ant colony optimization algorithm is inspired by observation on real ants in their search for the shortest paths to food sources. Proposed algorithm is easily implemented and because of use of a simple classifier in that, its computational complexity is very low. The performance of proposed algorithm is compared to the performance of genetic algorithm, information gain and CHI on the task of feature selection in Reuters-21578 dataset. Simulation results on Reuters-21578 dataset show the superiority of the proposed algorithm.