Data mining in predicting firms failure: a comparative study using artificial neural networks and classification and regression tree / Norashikin Nasaruddin ...[et al.]
Financial Institutions and investors alike are very much interested in the accuracy of predicting the potential failures of firms. These financial institutions believe accurate prediction will lead to a low default rate in servicing their financial loans. The aim of this study is to find a better mo...
Saved in:
Main Authors: | Nasaruddin, Norashikin, Che-Hussain, Wan-Siti-Esah, Nayan, Asmahani, Ahmad, Abd-Razak |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2015
|
Subjects: | |
Online Access: | https://ir.uitm.edu.my/id/eprint/53991/1/53991.pdf https://ir.uitm.edu.my/id/eprint/53991/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Exchange control system - An overview / Norashikin Ismail
by: Ismail, Norashikin
Published: (2000) -
Dividend policy and factors influencing : a study of Malaysian listed corporations / Prof. Madya Dr. Norashikin Ismail, Prof. Dr. Rashidah Abdul Rahman and Prof. Dr. Normah Hj. Omar
by: Ismail, Norashikin, et al.
Published: (2011) -
The determinant of dividend payment by Tabung Haji / Nursazreena Azwa Nasaruddin and Naazira Jamaludin
by: Nasaruddin, Nursazreena Azwa, et al.
Published: (2019) -
Partial least squares based financial distressed classifying model of small construction firms / Amirah Hazwani Abdul Rahim ... [et al.]
by: Abdul Rahim, Amirah Hazwani, et al.
Published: (2014) -
Determinants of firm’s effiency : evidence from firms in financial distress / Nazatul Nadia Azman
by: Azman, Nazatul Nadia
Published: (2020)