A Comprehensive Survey on Metaheuristic Algorithm for Feature Selection Techniques-Reference-Cited by-同舟云学术

A Comprehensive Survey on Metaheuristic Algorithm for Feature Selection Techniques

Published:2022 Issue: Volume:64 Page:435-441
ISSN:2214-7853
Container-title:Materials Today: Proceedings
language:en
Short-container-title:Materials Today: Proceedings

Author:

Arun Kumar R.,Vijay Franklin J.,Koppula Neeraja

Publisher

Elsevier BV

Subject

General Medicine

Reference40 articles.

1. Ensemble learning-based filter-centrichybrid feature selection framework for high-dimensional imbalanced data;Kim;Knowledge-Based Syst.,,2021

2. Adaptive Discriminant Analysis for Semisupervised Feature Selection;Zhong;Inform. Sci.,2021

3. A Two-stage Hybrid Ant Colony Optimization for High-Dimensional Feature Selection;Ma;Pattern Recogn.,2021

4. A hybrid feature selection method based on Binary Jaya algorithm for micro-array data classification;Chaudhuri;Comput. Electr. Eng.,2021

5. Evolutionary computing for clinical dataset classification using a novel feature selection algorithm;Pranali;J. King Saud Univ. –Comput. Inform. Sci., In Press,2020

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