Developing debt risk model using data mining for IRBM / Hamisah Mohamed Azidin
This paper describes the development of a debt risk predictive model for individual taxpayer in Inland Revenue Board Malaysia (IRBM). Using data mining to predict taxpayer's compliance and non-compliance has gained attention in recent times. However, very little research has been done to predic...
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| Format: | Thesis |
| Language: | English |
| Published: |
2015
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| Online Access: | https://ir.uitm.edu.my/id/eprint/63443/1/63443.pdf |
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