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

Detecting evolutionary financial statement fraud

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A computational model for financial reporting fraud detection

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

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Identification of fraudulent financial statements using linguistic credibility analysis

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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

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The use of hybrid manifold learning and support vector machines in the prediction of business failure

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Using support vector machine with a hybrid feature selection method to the stock trend prediction

(2009) Ming-Chi Lee   EXPERT SYSTEMS WITH APPLICATIONS

Dimensionality reduction based on rough set theory: A review

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

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