Edité par Wiley & Sons, Incorporated, John, 2015
ISBN 10 : 1119133122 ISBN 13 : 9781119133124
Langue: anglais
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Ajouter au panierEtat : Very Good. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.
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Ajouter au panierhardcover. Etat : Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Ajouter au panierhardcover, Etat : Very Good, Wiley, NY, c.2015, 1st., 8vo., hardcover, 367pp., VG+/VG+ $.
Edité par John Wiley & Sons, Incorporated, 2015
ISBN 10 : 1119133122 ISBN 13 : 9781119133124
Langue: anglais
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Ajouter au panierHardback or Cased Book. Etat : New. Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection 1.3. Book.
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Ajouter au panierHRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Edité par John Wiley & Sons Inc, New York, 2015
ISBN 10 : 1119133122 ISBN 13 : 9781119133124
Langue: anglais
Vendeur : Grand Eagle Retail, Fairfield, OH, Etats-Unis
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Ajouter au panierHardcover. Etat : new. Hardcover. Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. This invaluable guide details both the theory and technical aspects of these techniques, and provides expert insight into streamlining implementation. Coverage includes data gathering, preprocessing, model building, and post-implementation, with comprehensive guidance on various learning techniques and the data types utilized by each. These techniques are effective for fraud detection across industry boundaries, including applications in insurance fraud, credit card fraud, anti-money laundering, healthcare fraud, telecommunications fraud, click fraud, tax evasion, and more, giving you a highly practical framework for fraud prevention. It is estimated that a typical organization loses about 5% of its revenue to fraud every year. More effective fraud detection is possible, and this book describes the various analytical techniques your organization must implement to put a stop to the revenue leak. Examine fraud patterns in historical dataUtilize labeled, unlabeled, and networked dataDetect fraud before the damage cascadesReduce losses, increase recovery, and tighten security The longer fraud is allowed to go on, the more harm it causes. It expands exponentially, sending ripples of damage throughout the organization, and becomes more and more complex to track, stop, and reverse. Fraud prevention relies on early and effective fraud detection, enabled by the techniques discussed here. Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques helps you stop fraud in its tracks, and eliminate the opportunities for future occurrence. Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 32,66
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 35,24
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
Edition originale
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Ajouter au panierEtat : New. Series: Wiley and SAS Business Series. Num Pages: 400 pages. BIC Classification: JKVK; KJM; UNF. Category: (P) Professional & Vocational. Dimension: 167 x 237 x 34. Weight in Grams: 614. . 2015. 1st Edition. Hardcover. . . . .
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EUR 39,88
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Ajouter au panierHardback. Etat : New. New copy - Usually dispatched within 4 working days. 647.
Vendeur : Russell Books, Victoria, BC, Canada
Edition originale
EUR 47,35
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Ajouter au panierHardcover. Etat : New. 1st Edition. Special order direct from the distributor.
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Ajouter au panierEtat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Ajouter au panierEtat : New. pp. 384.
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Ajouter au panierEtat : New. Series: Wiley and SAS Business Series. Num Pages: 400 pages. BIC Classification: JKVK; KJM; UNF. Category: (P) Professional & Vocational. Dimension: 167 x 237 x 34. Weight in Grams: 614. . 2015. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
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Ajouter au panierEtat : New. pp. 384.
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Ajouter au panierHardcover. Etat : Brand New. 1st edition. 400 pages. 9.06x6.38x1.42 inches. In Stock.
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Edité par John Wiley & Sons Inc, New York, 2015
ISBN 10 : 1119133122 ISBN 13 : 9781119133124
Langue: anglais
Vendeur : CitiRetail, Stevenage, Royaume-Uni
EUR 38,10
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierHardcover. Etat : new. Hardcover. Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. This invaluable guide details both the theory and technical aspects of these techniques, and provides expert insight into streamlining implementation. Coverage includes data gathering, preprocessing, model building, and post-implementation, with comprehensive guidance on various learning techniques and the data types utilized by each. These techniques are effective for fraud detection across industry boundaries, including applications in insurance fraud, credit card fraud, anti-money laundering, healthcare fraud, telecommunications fraud, click fraud, tax evasion, and more, giving you a highly practical framework for fraud prevention. It is estimated that a typical organization loses about 5% of its revenue to fraud every year. More effective fraud detection is possible, and this book describes the various analytical techniques your organization must implement to put a stop to the revenue leak. Examine fraud patterns in historical dataUtilize labeled, unlabeled, and networked dataDetect fraud before the damage cascadesReduce losses, increase recovery, and tighten security The longer fraud is allowed to go on, the more harm it causes. It expands exponentially, sending ripples of damage throughout the organization, and becomes more and more complex to track, stop, and reverse. Fraud prevention relies on early and effective fraud detection, enabled by the techniques discussed here. Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques helps you stop fraud in its tracks, and eliminate the opportunities for future occurrence. Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.