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Finding Rules for Audit Opinions Prediction Through Data Mining Methods · Study

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PreprintFinding Rules for Audit Opinions Prediction Through Data Mining Methods

Seyed Mojtaba Saif2012

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Preprintgreen2012

Finding Rules for Audit Opinions Prediction Through Data Mining Methods

Seyed Mojtaba Saif · Mehdi Sarikhani · Fahime Ebrahimi

17 citations·0/0 files stored·SSRN Electronic Journal

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Auditing, Earnings Management, Governance Data Mining and Machine Learning Applications Financial Distress and Bankruptcy Prediction

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References

1986Audit Fees and Auditor Size: Further Evidence 1992Default on Debt Obligations and the Issuance of Going-Concern Opinions.1991Empirical Analysis of Audit Uncertainty Qualifications 2003An Empirical Investigation of Determinants of Audit Reports in the UK 2005A study of Taiwan's issuer credit rating systems using support vector machines 2003Using client performance measures to identify pre-engagement factors associated with qualified audit reports in Greece 2003Audit Qualification, Firm Litigation, and Financial Information: an Empirical Analysis in Greece 2004Artificial neural networks in analytical review procedures

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2019Predicting the type of auditor opinion: Statistics, machine learning, or a combination of the two?

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Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2015Integrating corporate governance and financial variables for the identification of qualified audit opinions with neural networksarticle · 10 shared references 2007A comparison of nearest neighbours, discriminant and logit models for auditing decisionsarticle · 8 shared references 2007Identifying Qualified Auditors' Opinions: A Data Mining Approacharticle · 8 shared references 2005Explaining qualifications in audit reports using a support vector machine methodologyarticle · 8 shared references 2012Identifying qualified audit opinions by artificial neural networksarticle · 8 shared references 2017Audit report qualification/modificationarticle · 8 shared references

Details

Year2012

Typepreprint

Published2012-01-01

VenueSSRN Electronic Journal

ISSN-L1556-5068

Languageen

Citations17

Files0 public / 0

ShelfAuditing, Earnings Management, Governance

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doi10.2139/ssrn.2185919

openalex_workW3121695101

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