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Volumn 29, Issue 2, 2015, Pages 423-429

Big data analytics in financial statement audits

Author keywords

Analytical methods; Auditing; Big data

Indexed keywords


EID: 84943558103     PISSN: 08887993     EISSN: 15587975     Source Type: Journal    
DOI: 10.2308/acch-51068     Document Type: Article
Times cited : (250)

References (21)
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  • 2
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    • Putting continuous auditing theory into practice: Lessons from two pilot implementations
    • Alles, M., A. Kogan, and M. Vasarhelyi. 2008. Putting continuous auditing theory into practice: Lessons from two pilot implementations. Journal of Information Systems 22 (2): 195-214.
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    • Alles, M.1    Kogan, A.2    Vasarhelyi, M.3
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    • Chan, W.1
  • 11
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    • KPMG. 2013. Data Analytics for Internal Audit. Available at: https://www. kpmg. com/CH/en/Library/Articles-Publications/Documents/Advisory/pub-20130412-data-analytics-internal-audit-en. pdf.
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    • KPMG1
  • 16
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    • Recommending new movies: Even a few ratings are more valuable than metadata
    • New York, NY: RecSys 2009
    • Pilászy, I., and D. Tikk. 2009. Recommending new movies: Even a few ratings are more valuable than metadata. In Proceedings of the Third ACM Conference on Recommender Systems, 93-100. New York, NY: RecSys 2009.
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  • 17
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    • Settles, B.1
  • 21
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    • Toward effective Big Data analysis in continuous auditing
    • Zhang, J., X. Yang, and D. Appelbaum. 2015. Toward effective Big Data analysis in continuous auditing. Accounting Horizons 29 (2).
    • (2015) Accounting Horizons , vol.29 , Issue.2
    • Zhang, J.1    Yang, X.2    Appelbaum, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.