Feature Selection with Harmony Search for Classification: A Review

Norfadzlan Yusup, Azlan Mohd Zain, Nur Fatin Liyana Mohd Rosely, Suhaila Mohamad Yusuf

2018

Abstract

In the area of data mining, feature selection is an important task for classification and dimensionality reduction. Feature selection is the process of choosing the most relevant features in a datasets. If the datasets contains irrelevant features, it will not only affect the training of the classification process but also the accuracy of the model. A good classification accuracy can be achieved when the model correctly predicted the class labels. This paper gives a general review of feature selection with Harmony Search (HS) algorithm for classification in various application. From the review, feature selection with HS algorithm shows a good performance as compared to other metaheuristics algorithm such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO).

Paper Citation

in Harvard Style

Yusup N., Zain A., Mohd Rosely N. and Yusuf S. (2018). Feature Selection with Harmony Search for Classification: A Review. In Proceedings of the 3rd International Conference of Computer, Environment, Agriculture, Social Science, Health Science, Engineering and Technology - Volume 1: ICEST, ISBN 978-989-758-496-1, pages 294-302. DOI: 10.5220/0010042002940302

in Bibtex Style

@conference{icest18,
author={Norfadzlan Yusup and Azlan Mohd Zain and Nur Fatin Liyana Mohd Rosely and Suhaila Mohamad Yusuf},
title={Feature Selection with Harmony Search for Classification: A Review},
booktitle={Proceedings of the 3rd International Conference of Computer, Environment, Agriculture, Social Science, Health Science, Engineering and Technology - Volume 1: ICEST,},
year={2018},
pages={294-302},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010042002940302},
isbn={978-989-758-496-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference of Computer, Environment, Agriculture, Social Science, Health Science, Engineering and Technology - Volume 1: ICEST,
TI - Feature Selection with Harmony Search for Classification: A Review
SN - 978-989-758-496-1
AU - Yusup N.
AU - Zain A.
AU - Mohd Rosely N.
AU - Yusuf S.
PY - 2018
SP - 294
EP - 302
DO - 10.5220/0010042002940302