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- W2376145497 abstract "Identifying fraudulent financial statements becomes a common problem concerned by scholars from both domestic and abroad.As a preferable means to overcome the intrinsic weakness brought by the traditional approaches,the recent application of Data Mining is regarded as development trend in this area.Models and Methods to identify the Fraudulent Financial Statements include: Methods of Statistic Analysis,Neural Network Models and other Data Mining Methods.The article not only concludes all kinds of methods and models,but also compares and analyzes the advantages and disadvantages,rates of correct identification and conditions of application of each technology,supporting for the empirical research to be conducted." @default.
- W2376145497 created "2016-06-24" @default.
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- W2376145497 date "2010-01-01" @default.
- W2376145497 modified "2023-09-25" @default.
- W2376145497 title "Review on the Data Mining Models and Methods to Identify the Fraudulent Financial Statements" @default.
- W2376145497 hasPublicationYear "2010" @default.
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