A Recurrence Population-based Great Deluge Algorithm with Independent Quality Estimation for Feature Selection from Academician Data-Reference-Cited by-同舟云学术

A Recurrence Population-based Great Deluge Algorithm with Independent Quality Estimation for Feature Selection from Academician Data

Published:2021-09-05 Issue:13 Volume:35 Page:1081-1105
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Jaddi Najmeh Sadat¹²^ORCID,Abdullah Salwani³,Nazri Mohd Zakree Ahmad³

Affiliation:

1. Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran

2. Department of Computer Engineering, Ooj Institute of Higher Education, Abyek, Qazvin, Iran

3. Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, The National University of Malaysia, Selangor, Bangi, Malaysia

Funder

National University of Malaysia

Publisher

Informa UK Limited

Subject

Artificial Intelligence

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2021.1972253

Reference44 articles.

1. A Modified Electromagnetic-Like Mechanism for Rough Set Attribute Reduction

2. Great Deluge Algorithm for Rough Set Attribute Reduction

3. A Comparative Study of Feature Selection and Classification Methods for Gene Expression Data of Glioma

4. Multiobjective great deluge algorithm with two-stage archive support

5. Asynchronous accelerating multi-leader salp chains for feature selection

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