000 01776nam a2200409 i 4500
001 ebr11318996
003 MiAaPQ
006 m o d |
007 cr cn|||||||||
008 161021t20172017njua o 001 0 eng|d
020 _z9781119186793 (cloth)
020 _z9781119186793
020 _a9781119270348 (e-book)
040 _aMiAaPQ
_beng
_erda
_epn
_cMiAaPQ
_dMiAaPQ
050 4 _aHF5667
_b.V659 2017eb
082 0 4 _a658.4/73
_223
100 1 _aVona, Leonard W.,
_d1955-
_eauthor.
245 1 0 _aFraud data analytics methodology :
_bthe fraud scenario approach to uncovering fraud in core business systems /
_cLeonard W. Vona.
264 1 _aHoboken, New Jersey :
_bJohn Wiley & Sons,
_c[2017]
264 4 _c�2017
300 _a1 online resource (403 pages) :
_billustrations.
336 _atext
_2rdacontent
337 _acomputer
_2rdamedia
338 _aonline resource
_2rdacarrier
490 1 _aWiley Corporate F&A
500 _aIncludes index.
588 _aDescription based on print version record.
590 _aElectronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
650 0 _aAuditing.
650 0 _aForensic accounting.
650 0 _aFraud
_xPrevention.
650 0 _aAuditing, Internal.
655 4 _aElectronic books.
776 0 8 _iPrint version:
_aVona, Leonard W.
_tFraud data analytics methodology : the fraud scenario approach to uncovering fraud in core business systems.
_dHoboken, New Jersey : John Wiley & Sons, [2017]
_kWiley Corporate F&A
_z9781119186793
797 2 _aProQuest (Firm)
830 0 _aWiley corporate F & A.
856 4 0 _uhttp://site.ebrary.com/lib/daystar/Doc?id=11318996
_zAn electronic book accessible through the World Wide Web; click to view
999 _c195268
_d195268