A financial statement fraud model based on synthesized attribute selection and a dataset with missing values and imbalanced classes

The Efficacy of Predictive Methods in Financial Statement Fraud

(2019) Mahdi Omidi et al.   DISCRETE DYNAMICS IN NATURE AND SOCIETY

Super-resolution of PET image based on dictionary learning and random forests

(2019) Zhanli Hu et al.   NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT

Information gain directed genetic algorithm wrapper feature selection for credit rating

(2018) Swati Jadhav et al.   APPLIED SOFT COMPUTING

Feature selection considering two types of feature relevancy and feature interdependency

(2018) Liang Hu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Relief-Based Feature Selection: Introduction and Review

(2018) Ryan J. Urbanowicz et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Hierarchical brain tumour segmentation using extremely randomized trees

(2018) Adriano Pinto et al.   PATTERN RECOGNITION

Automated defect detection for Fluorescent Penetrant Inspection using Random Forest

(2018) N.J. Shipway et al.   NDT & E INTERNATIONAL

Inducing non-orthogonal and non-linear decision boundaries in decision trees via interactive basis functions

(2018) Antonio Paez et al.   EXPERT SYSTEMS WITH APPLICATIONS

Learning from class-imbalanced data: Review of methods and applications

(2017) Guo Haixiang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Clustering-based undersampling in class-imbalanced data

(2017) Wei-Chao Lin et al.   INFORMATION SCIENCES

Modeling of gas hydrate phase equilibria: Extremely randomized trees and LSSVM approaches

(2017) Hamidreza Yarveicy et al.   JOURNAL OF MOLECULAR LIQUIDS

Mining corporate annual reports for intelligent detection of financial statement fraud – A comparative study of machine learning methods

(2017) Petr Hajek et al.   KNOWLEDGE-BASED SYSTEMS

Polynomial Kernel Discriminant Analysis for 2D visualization of classification problems

(2017) Sadi Alawadi et al.   NEURAL COMPUTING & APPLICATIONS

Intelligent financial fraud detection: A comprehensive review

(2016) Jarrod West et al.   COMPUTERS & SECURITY

A Hybrid Detecting Fraudulent Financial Statements Model Using Rough Set Theory and Support Vector Machines

(2016) Ching-Chiang Yeh et al.   CYBERNETICS AND SYSTEMS

Detecting financial misstatements with fraud intention using multi-class cost-sensitive learning

(2016) Yeonkook J. Kim et al.   EXPERT SYSTEMS WITH APPLICATIONS

Gene selection using information gain and improved simplified swarm optimization

(2016) Chyh-Ming Lai et al.   NEUROCOMPUTING

Improving the prediction of going concern of Taiwanese listed companies using a hybrid of LASSO with data mining techniques

(2016) Yeung-Ja James Goo et al.   SpringerPlus

Financial fraud detection using vocal, linguistic and financial cues

(2015) Chandra S. Throckmorton et al.   DECISION SUPPORT SYSTEMS

Convolutional Sparse Coding for Trajectory Reconstruction

(2015) Yingying Zhu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

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

Topological pattern discovery and feature extraction for fraudulent financial reporting

(2014) Shin-Ying Huang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Ensemble streamflow forecasting experiments in a tropical basin: The São Francisco river case study

(2014) Fernando Mainardi Fan et al.   JOURNAL OF HYDROLOGY

A Hybrid Approach of Stepwise Regression, Logistic Regression, Support Vector Machine, and Decision Tree for Forecasting Fraudulent Financial Statements

(2014) Suduan Chen et al.   TheScientificWorldJOURNAL

A hybrid classifier combining SMOTE with PSO to estimate 5-year survivability of breast cancer patients

(2013) Kung-Jeng Wang et al.   APPLIED SOFT COMPUTING

Eye pupil localization with an ensemble of randomized trees

(2013) Nenad Markuš et al.   PATTERN RECOGNITION

Predicting disease risks from highly imbalanced data using random forest

(2011) Mohammed Khalilia et al.   BMC Medical Informatics and Decision Making

Making words work: Using financial text as a predictor of financial events

(2010) Mark Cecchini 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

Identification of fraudulent financial statements using linguistic credibility analysis

(2010) Sean L. Humpherys 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

A support vector machine-based model for detecting top management fraud

(2010) Ping-Feng Pai et al.   KNOWLEDGE-BASED SYSTEMS

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

FALSE FINANCIAL STATEMENTS: CHARACTERISTICS OF CHINA'S LISTED COMPANIES AND CART DETECTING APPROACH

(2008) BELINNA BAI et al.   INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING