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...

Full description

Saved in:
Bibliographic Details
Main Author: Mohamed Azidin, Hamisah
Format: Thesis
Language:English
Published: 2015
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/63443/1/63443.pdf
https://ir.uitm.edu.my/id/eprint/63443/
Tags: Add Tag
No Tags, Be the first to tag this record!