Penerapan Machine Learning, Deep Learning, Dan Data Mining Dalam Deteksi Kecurangan Laporan Keuangan-A Systematic Literature Review
S Prasetyo, T Dewayanto - Diponegoro Journal of Accounting, 2024 - ejournal3.undip.ac.id
This study aims to determine the impact of the application of machine learning, deep
learning, and data mining in financial statement fraud detection based on published …
learning, and data mining in financial statement fraud detection based on published …
Pengaruh Kepemilikan Manajerial, Audit Report Lag, Leverage dan Financial Distress Terhadap Integritas Laporan Keuangan
S Andini, A Hizazi… - Studi Akuntansi dan …, 2024 - journal.prasetiyamulya.ac.id
Penelitian bertujuan untuk melihat pengaruh kepemilikan manajerial, audit report lag,
leverage, dan financial distress terhadap integritas laporan keuangan pada perusahaan …
leverage, dan financial distress terhadap integritas laporan keuangan pada perusahaan …
[HTML][HTML] Seeing Beyond Noise: Improving Cryptocurrency Forecasting with Linear Bias Correction
Cryptocurrency is recognized as a leading digital currency by its peer-to-peer transfer
capabilities and secure features. Accurately forecasting cryptocurrency price trends holds …
capabilities and secure features. Accurately forecasting cryptocurrency price trends holds …
Developing Predictive Models for Detecting Financial Statement Fraud: A Machine Learning Approach
The objective of this study is to overcome the shortcomings of conventional ways to detect
fraud in financial statement analysis, including rule-based and statistical methods, which …
fraud in financial statement analysis, including rule-based and statistical methods, which …