The Efficacy of Predictive Methods in Financial Statement Fraud

An Effective Financial Statements Fraud Detection Model for the Sustainable Development of Financial Markets: Evidence from Taiwan

(2018) Chyan-long Jan   Sustainability

A survey of anomaly detection techniques in financial domain

(2016) Mohiuddin Ahmed et al.   Future Generation Computer Systems-The International Journal of eScience

Detecting the financial statement fraud: The analysis of the differences between data mining techniques and experts’ judgments

(2015) Chi-Chen Lin et al.   KNOWLEDGE-BASED SYSTEMS

The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets

(2015) Takaya Saito et al.   PLoS One

COG: local decomposition for rare class analysis

(2010) Junjie Wu et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Detecting evolutionary financial statement fraud

(2010) Wei Zhou et al.   DECISION SUPPORT SYSTEMS

Detection of financial statement fraud and feature selection using data mining techniques

(2010) P. Ravisankar et al.   DECISION SUPPORT SYSTEMS

The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature

(2010) E.W.T. Ngai et al.   DECISION SUPPORT SYSTEMS

Detecting Management Fraud in Public Companies

(2010) Mark Cecchini et al.   MANAGEMENT SCIENCE

Anomaly detection

(2009) Varun Chandola et al.   ACM COMPUTING SURVEYS

CLASSIFICATION OF IMBALANCED DATA: A REVIEW

(2009) YANMIN SUN et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE