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Detecting corporate tax evasion using a hybrid intelligent system: A case study of Iran · Study

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ArticleDetecting corporate tax evasion using a hybrid intelligent system: A case study of Iran

Eghbal Rahimikia2017

Article2017

Detecting corporate tax evasion using a hybrid intelligent system: A case study of Iran

Eghbal Rahimikia · Shapour Mohammadi · Teymur Rahmani · Mehdi Ghazanfari

66 citations·0/0 files stored·International Journal of Accounting Information Systems

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Taxation and Compliance Studies Data Mining and Machine Learning Applications Imbalanced Data Classification Techniques

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References

2006Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review 2006A Review of Bankruptcy Prediction Studies: 1930 to Present 2011Using Financial Statement Data To Identify Factors Associated With Fraudulent Financial Reporting 1997Financial Management : Theory & Practice 2015Detecting the financial statement fraud: The analysis of the differences between data mining techniques and experts’ judgments 2012Using data mining technique to enhance tax evasion detection performance

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2020Combining Network Visualization and Data Mining for Tax Risk Assessment 2020An application of machine learning on corporate tax avoidance detection model

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Year2017

Typearticle

Published2017-03-19

VenueInternational Journal of Accounting Information Systems

ISSN-L1467-0895

Languageen

Citations66

Files0 public / 0

ShelfTaxation and Compliance Studies

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doi10.1016/j.accinf.2016.12.002

openalex_workW2595907786

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