Machine learning of tax avoidance detection based on hybrid metaheuristics algorithms
This paper addresses the performances of machine learning classification models for the detection of tax avoidance problems. The machine learning models employed automated features selection with hybrid two metaheuristics algorithms namely particle swarm optimization (PSO) and genetic algorithm (GA)...
| Main Authors: | Masrom, S., Rahman, R.A., Mohamad, M., Rahman, A.S.A., Baharun, N. |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.33319 / |
| Published: |
Institute of Advanced Engineering and Science
2022
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133466175&doi=10.11591%2fijai.v11.i3.pp1153-1163&partnerID=40&md5=8b1ea8bb2e809d576b38feec87a8337b http://eprints.utp.edu.my/33319/ |
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