Data mining algorithm in the identification of accounting fraud by smart city information technology
The identification of accounting fraud is an important measure to safeguard the interests of stakeholders and ensure the long-term development of the company. The current traditional methods for identifying accounting fraud rely on manual review and judgment, lacking objectivity and accuracy. In ord...
Saved in:
Main Authors: | Zheng, Xinyi, Hamid, Mohamad Ali Abdul, Hou, Yihua |
---|---|
Format: | Article |
Published: |
Elsevier
2024
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/46940/ https://doi.org/10.1016/j.heliyon.2024.e30048 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Utilisation of data mining technology within the accounting information system in the public sector
by: Mohd Shaari Abd Rahman
Published: (2014) -
Data mining based damage identification using imperialist competitive algorithm and artificial neural network
by: Gordan, Meisam, et al.
Published: (2018) -
Data mining in mobile ECG based biometric identification
by: Sidek, Khairul Azami, et al.
Published: (2014) -
Vibration-based structural damage identification using data mining
by: Gordan, M., et al.
Published: (2017) -
Forensic accounting & fraud investigation
by: EMC Management Centre, ,
Published: (2005)