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005			20260405171756.0
006			m o d
007			cr |||||||||||
008			260405s2021 paua ob 001 0 eng
010			_a 2020018651
020			_a9781799848066 _qelectronic book
020			_a179984806X _qelectronic book
020			_z9781799848059 _qhardcover
020			_z9781799857853 _qpaperback
020			_a1799848051
020			_a9781799848059
020			_a1799857859
020			_a9781799857853
024	7		_a10.4018/978-1-7998-4805-9 _2doi
035			_a(OCoLC)1156425142 _z(OCoLC)1227386865 _z(OCoLC)1258394373
035		9	_a(OCLCCM-CC)1156425142
040			_aDLC _beng _erda _cDLC _dOCLCO _dOCLCF _dN$T _dYDX _dOCLCO _dIGIGL _dOCLCQ _dOCLCO _dOCLCQ _dOCLCO _dOCLCL _dVT2
041			_aeng
042			_apcc
049			_aMAIN
050	0	4	_aHF5668.25 _b.M33 2021
082	0	0	_223
245	0	0	_aMachine learning applications for accounting disclosure and fraud detection / _cStylianos Papadakis [and four others].
264		1	_aHershey, PA : _bBusiness Science Reference, an imprint of IGI Global, _c[2021]
300			_a1 online resource (xxi, 270 pages) : _billustrations
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aAdvances in finance, accounting, and economics (AFAE) book series
500			_a"Premier Reference Source" -- taken from front cover.
504			_aIncludes bibliographical references and index.
505	0		_aChapter 1. Corporate governance as a tool for fraud mitigation -- Chapter 2. Corporate sector fraud: challenges and safety -- Chapter 3. Corporate governance: introduction, roles, codes of corporate governance -- Chapter 4. Fraud governance and good practices against fraud -- Chapter 5. Theoretical analysis of creative accounting: fraud in financial statements -- Chapter 6. Operational risk framework and fraud management: a contemporary approach -- Chapter 7. Current trends in investment analysis -- Chapter 8. A study on various applications of data mining and supervised learning techniques in business fraud detection -- Chapter 9. Detection and prevention of fraud in the digital era -- Chapter 10. Downside risk premium: a comparative analysis -- Chapter 11. Impact of corporate fraud on foreign direct investment?: evidence from China -- Chapter 12. Outsourcing of internal audit services instead of traditional internal audit units: a literature review on transition from in-house to outsourcing -- Chapter 13. Machine learning techniques and risk management: application to the banking sector during crisis -- Chapter 14. Application of adaptive neurofuzzy control in the field of credit insurance -- Chapter 15. Prediction of corporate failures for small and medium-sized enterprises in Europe: a comparison of statistical and machine learning approaches.
520			_a"This book covers the application of machine learning models to identify "quality" characteristics in corporate accounting disclosure, proposing specific tools for detecting core business fraud characteristics. It uses machine learning techniques in accounting disclosure (i.e. corporate financial statements) and identifies methodological aspects revealing the deployment of fraudulent behavior and fraud detection in the corporate environment"-- _cProvided by publisher.
588			_aDescription based on online resource; title from digital title page (viewed on February 05, 2021).
650		0	_aAuditing, Internal _xData processing.
650		0	_aCorporations _xAccounting _xData processing.
650		0	_aFraud _xPrevention.
650		0	_aMachine learning. _0http://id.loc.gov/authorities/subjects/sh85079324
655		4	_aElectronic books.
700	1		_aPapadakis, Stylianos, _d1970- _eeditor. _0http://id.loc.gov/authorities/names/n2020026600
830		0	_aAdvances in finance, accounting, and economics (AFAE) book series. _0http://id.loc.gov/authorities/names/n2014181721
856	4	0	_uhttps://research.ebsco.com/linkprocessor/plink?id=742a727f-9a2b-3587-aabf-9a00cd275c43 _yFull text is avaiable at EBSCOhost. Click here to view.
942			_2ddc _cER