Binary Pso and Rough Set Theory for Feature Selection: A Multi-Objective Filter Based Approach

International Journal of Computational Intelligence and Applications- Singapore

doi 10.1142/s1469026814500096

Full Text

Abstract

Available in

Categories

Theoretical Computer Science

Computer Science Applications

Date

June 1, 2014

Authors

Publisher

World Scientific Pub Co Pte Lt

Related search

Feature Selection Based on Hybrid Binary Cuckoo Search and Rough Set Theory in Classification for Nominal Datasets

International Journal of Information Technology and Computer Science

English

Multi-Objective Evolutionary Algorithms for Filter Based Feature Selection in Classification

International Journal on Artificial Intelligence Tools

Artificial Intelligence

English

A Novel Approach of Feature Selection Based on Decision-Theoretic Rough Set Model

Information Technology Journal

English

A Novel Discrete Artificial Bee Colony Algorithm for Rough Set-Based Feature Selection

International Journal of Advancements in Computing Technology

English

Binary PSO-based Dynamic Multi-Objective Model for Distributed Generation Planning Under Uncertainty

IET Renewable Power Generation

Renewable Energy

the Environment

English

A Novel Soft Set Approach for Feature Selection

International Journal of Database Theory and Application

Computer Science

English

Feature Selection on the Basis of Rough Set Theory and Univariate Marginal Distribution Algorithm

English

PSO for Multi-Objective Problems: Criteria for Leader Selection and Uniformity Distribution

Journal of Artificial Intelligence and Data Mining

English

Constructing Minimal Spanning Tree Based on Rough Set Theory for Gene Selection

International Journal of Artificial Intelligence & Applications

English