An evaluation of nature-inspired optimization algorithms and machine learning classifiers for electricity fraud prediction

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An evaluation of nature-inspired optimization algorithms and machine learning classifiers for electricity fraud prediction

This study evaluated the nature-inspired optimization algorithms to improve classification involving imbalanced class problems. The particle swarm optimization (PSO) and grey wolf optimizer (GWO) were used to adaptively balance the distribution and then four supervised machine learning classifiers a...

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Bibliographic Details
Published in:	Indonesian Journal of Electrical Engineering and Computer Science
Main Author:	Kamaruddin A.S.; Hadrawi M.F.; Wah Y.B.; Aliman S.
Format:	Article
Language:	English
Published:	Institute of Advanced Engineering and Science 2023
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174209769&doi=10.11591%2fijeecs.v32.i1.pp468-477&partnerID=40&md5=8c3498c8638eeb2dbf8f8be3c2faa95d

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