Robust PRIDIT scoring method for classification fraud cases in financial data

Increasing number of fraud cases could jeopardize business solvency. Identification of fraud using effective statistical methods, such as classification, can protect organisations from this pitfall. However, identifying fraud cases can be a statistical challenge due to several characteristics of fin...

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Bibliographic Details
Main Author: Tukiman, Norbaiti
Format: Thesis
Language:English
Published: 2022
Subjects:
Online Access:http://eprints.utm.my/id/eprint/101815/1/NorbaitiTukimanPFS2022.pdf
http://eprints.utm.my/id/eprint/101815/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:147906
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Institution: Universiti Teknologi Malaysia
Language: English