Data Mining Techniques: A Key for detection of Financial Statement Fraud

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@Article{Gupta:2012:IJCSIS,

• author = "Rajan Gupta and Nasib Singh Gill",
• title = "Data Mining Techniques: A Key for detection of Financial Statement Fraud",
• journal = "International Journal of Computer Science and Information Security",
• year = "2012",
• volume = "10",
• number = "3",
• pages = "49--57",
• month = mar,
• keywords = "genetic algorithms, genetic programming",
• publisher = "LJS Publisher and IJCSIS Press",
• ISSN = "1947-5500",
• bibsource = "OAI-PMH server at www.doaj.org",
• oai = "oai:doaj-articles:e9ef76824df3c0f99e9c0cf09c334160",
• URL = "https://sites.google.com/site/ijcsis/vol-10-no-3-mar-2012",
• abstract = "In recent times, most of the news from business world is dominated by financial statement fraud. A financial statement becomes fraudulent if it has some false information incorporated by the management intentionally. This paper implements data mining techniques such as CART, Naive Bayesian classifier, Genetic Programming to identify companies those issue fraudulent financial statements. Each of these techniques is applied on a dataset from 114 companies. CART outperforms all other techniques in detection of fraud.",
• notes = "Dec 2015 'As of December 1st, Docstoc is closed for business.'",

}

Genetic Programming entries for Rajan Gupta Nasib Singh Gill

Citations