ANOMALY DETECTION IN FINANCIAL STATEMENT USING PROBABILISTIC NEURAL NETWORK
<p align="justify">Financial statements are representations to a company’s financial health. New auditors that don’t yet have the same experience as an expert need a tool to help them identify financial statements that might contain anomalies to avoid skipping some fraudulent f...
Saved in:
Main Author: | NADYA SEKARIANI (NIM : 13512017), ARIEZA |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/25761 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
Graph neural network for anomaly detection
by: Yeo, Ming Hong
Published: (2024) -
The accrual anomaly : effects of financial statement presentation format on less-informed investors.
by: Low, Bernardine Mei Fong.
Published: (2009) -
Design and implementation on an anomaly detection scheme supported by neural networks
by: Chia, Maximillian Khim Heng
Published: (2020) -
Probabilistic neural-logic networks
by: Teh, H.H., et al.
Published: (2014) -
Classification of freeway traffic patterns for incident detection using constructive probabilistic neural networks
by: Jin, X., et al.
Published: (2014)