A rough set approach to feature selection based on ant colony optimization
Explore this paper's citation graph
Summary
A new rough set approach to feature selection based on ACO is proposed, which adopts mutual information based feature significance as heuristic information and a novel feature selection algorithm is given.
- Type
- article
- Published
- 2010-02-01
- Cited by
- 302
- References
- 38
- OpenAlex
- https://openalex.org/W1983380373
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:11558056
Keywords
Feature selection, Ant colony optimization algorithms, Computer science, Feature (linguistics), Heuristic
References
- Feature Subset Selection Using the Wrapper Method: Overfitting and Dynamic Search Space Topology
- Rapid and brief communication: Eliminating redundancy and irrelevance using a new MLP-based feature selection method
- The Feature Selection Problem: Traditional Methods and a New Algorithm
- Knowledge discovery in databases: an attribute-oriented rough set approach
- Rough-Fuzzy Hybridization: A New Trend in Decision Making
- A Comparison of Rough Set Methods and Representative Inductive Learning Algorithms
- Using Rough Sets with Heuristics for Feature Selection
- Feature extraction using rough set theory and genetic algorithms--an application for the simplification of product quality evaluation
- Feature Selection and Effective Classifiers
- Tabu search for attribute reduction in rough set theory
- Combined SVM-Based Feature Selection and Classification
- Approaches to knowledge reduction based on variable precision rough set model
- Rough set methods in feature selection and recognition
- Application of information retrieval techniques to single writer documents
- Fast branch & bound algorithms for optimal feature selection
- Random subspace method for multivariate feature selection
- Swarm intelligence: from natural to artificial systems
- Feature Selection for Classification
- Dimensionality reduction using genetic algorithms
- The Ant System Applied to the Quadratic Assignment Problem
Cited by
- Genetic Particle Swarm Optimization–Based Feature Selection for Very-High-Resolution Remotely Sensed Imagery Object Change Detection
- Feature selection with harmony search and its applications
- Economic Modeling Using Artificial Intelligence Methods
- Data-based scheduling framework
- Improving E-Mail Spam Classification using Ant Colony Optimization Algorithm
- Efficient feature selection based on correlation measure between continuous and discrete features
- A binary granule representation for uncertainty measures in rough set theory
- The Use of Rough Set Theory in Determining the Preferences of the Customers of an Insurance Agency
- Variable Neighborhood Search for Attribute Reduction inRough Set Theory
- Parametric Matroid of Rough Set
- Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms
- METODE HIBRIDASI ANT COLONY OPTIMIZATION DAN INFORMATION GAIN UNTUK SELEKSI FITUR PADA DOKUMEN TEKS ARAB
- Selección de atributos relevantes aplicando algoritmos que combinan conjuntos aproximados y optimización en colonias de hormigas
- A fuzzy-rough approach for finding various minimal data reductions using ant colony optimization
- An adaptive amoeba algorithm for shortest path tree computation in dynamic graphs
- Improving fuzzy-rough quick reduct for feature selection
- Immune ant swarm optimization for optimum rough reducts generation
- Evolutionary computation for feature selection in classification problems
- Multiple parameter control for ant colony optimization applied to feature selection problem
- A New Attribute Dependency Function in Information System
Related papers
- Traveling Salesman Problem with Ant Colony Optimization
- U-Turning Ant Colony Algorithm for Solving Symmetric Traveling Salesman Problem
- Solution of Travelling Salesman Problem Using Ant Colony Algorithm
- U-Turning Ant Colony Algorithm for Solving Symmetric Traveling Salesman Problem
- Satisfactory Solution of Chinese Travelling Salesman Problem Based on Ant Colony Algorithm
- THE APPLICATION OF ANT COLONY OPTIMIZATION (ACO) ALGORITHM IN THE SHORT RUTE SEARCH FOR COMPLETING TRAVELING PROBLEM (TP)
- New Improved Heuristic Method for Solving Travelling Salesman Problem