MARC Record from marc_nuls

LEADER: 02296cam 22004694a 4500
001 9920312420001661
005 20150423125406.0
008 081219s2009 njua b 001 0 eng
010 $a 2008053433
015 $aGBA928586$2bnb
016 7 $a014932769$2Uk
020 $a9780470392430 (cloth)
020 $a0470392436 (cloth)
029 1 $aCDX$b8847089
029 1 $aBWX$bR5772162
035 $a(CSdNU)u351988-01national_inst
035 $a(OCoLC)246887310
035 $a(OCoLC)246887310
035 $a(OCoLC)246887310
040 $aDLC$cDLC$dBTCTA$dYDXCP$dC#P$dUKM$dCDX$dBWX$dOrLoB-B
049 $aCNUM
050 00 $aHV8079.F7$bC62 2009
082 00 $a364.4$222
100 1 $aCoderre, David G.
245 10 $aComputer-aided fraud prevention and detection :$ba step-by-step guide /$cDavid Coderre.
260 $aHoboken, N.J. :$bJohn Wiley & Sons,$cc2009.
300 $axviii, 280 p. :$bill. ;$c24 cm. +$e1 CD-ROM (4 3/4 in.)
504 $aIncludes bibliographical references (p. 275-276) and index.
505 0 $a1. What is fraud? -- 2. Fraud prevention and detection -- 3. Why use data analysis to detect fraud? -- 4. Solving the data problem -- 5. Understanding the data -- 6. Overview of the data -- 7. Working with the data -- 8. Analyzing trends in the data -- 9. Known symptoms of fraud -- 10. Unknown symptoms of fraud (using digital analysis) -- 11. Automating the detection process -- 12. Verifying the results -- App. A. Fraud investigation plans -- App. B. Application of CAATTs by functional area -- App. C. ACL installation process.
650 0 $aFraud.
650 0 $aFraud investigation.
650 0 $aFraud$xPrevention.
650 0 $aAuditing, Internal$xData processing.
938 $aBaker and Taylor$bBTCP$nBK0007926000
938 $aYBP Library Services$bYANK$n2969120
938 $aCoutts Information Services$bCOUT$n8847089$c31.99 GBP
938 $aBlackwell Book Service$bBBUS$nR5772162$c$60.00
947 $fCOLS-CJ$hCIRCSTACKS$p$51.60$q1
949 $aHV 8079.F7 C62 2009$i31786102360549
994 $a92$bCNU
999 $aHV 8079 .F7 C62 2009$wLC$c1$i31786102360549$d11/21/2009$e11/11/2009 $lCIRCSTACKS$mNULS$n1$rY$sY$tBOOK$u4/21/2009
999 $aHV 8079 .F7 C62 2009 CD$wLC$c1$i31786102685283$lMULTIMEDIA$mNULS$rY $sY$tCD-ROM$u4/23/2009