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Author: Bart Baesens Publisher: John Wiley & Sons ISBN: 1119133122 Category : Computers Languages : en Pages : 406
Book Description
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 data Utilize labeled, unlabeled, and networked data Detect fraud before the damage cascades Reduce 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.
Author: Bart Baesens Publisher: John Wiley & Sons ISBN: 1119133122 Category : Computers Languages : en Pages : 406
Book Description
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 data Utilize labeled, unlabeled, and networked data Detect fraud before the damage cascades Reduce 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.
Author: David Coderre Publisher: John Wiley & Sons ISBN: 0470451610 Category : Business & Economics Languages : en Pages : 374
Book Description
Praise for Computer-Aided Fraud Prevention and Detection: A Step-by-Step Guide "A wonderful desktop reference for anyone trying to move from traditional auditing to integrated auditing. The numerous case studies make it easy to understand and provide a how-to for those?seeking to implement automated tools including continuous assurance. Whether you are just starting down the path or well on your way, it is a valuable resource." -Kate M. Head, CPA, CFE, CISA Associate Director, Audit and Compliance University of South Florida "I have been fortunate enough to learn from Dave's work over the last fifteen years, and this publication is no exception. Using his twenty-plus years of experience, Dave walks through every aspect of detecting fraud with a computer from the genesis of the act to the mining of data for its traces and its ultimate detection. A complete text that first explains how one prevents and detects fraud regardless of technology and then shows how by automating such procedures, the examiners' powers become superhuman." -Richard B. Lanza, President, Cash Recovery Partners, LLC "Computer-Aided Fraud Prevention and Detection: A Step-by-Step Guide helps management and auditors answer T. S. Eliot's timeless question, 'Where is the knowledge lost in information?' Data analysis provides a means to mine the knowledge hidden in our information. Dave Coderre has long been a leader in educating auditors and others about Computer Assisted Audit Techniques. The book combines practical approaches with unique data analysis case examples that compel the readers to try the techniques themselves." -Courtenay Thompson Jr. Consultant, Courtenay Thompson & Associates
Author: David A. Montague Publisher: Trafford Publishing ISBN: 1412014603 Category : Business & Economics Languages : en Pages : 218
Book Description
Fraud is nothing new to the merchant. Since the beginning of time, man has always looked for the opportunity to defraud others - to gain goods or services without making payment. For the credit card industry, fraud is a part of doing business, and is something that is always a challenge. The merchants that are the best at preventing fraud are the ones that can adapt to change quickly. This book is written to provide information about how to prevent credit card fraud in the card-not-present space (mail order, telephone order, e-commerce). This book is meant to be an introduction to combating fraud, providing the basic concepts around credit card payment, the ways fraud is perpetrated, along with write ups that define and provide best practices on the use of 32 fraud-prevention techniques. 32 Detailed Fraud Prevention Techniques How to catch the Chameleon on the web Top 10 rules to prevent credit card fraud Understand common fraud schemes The one Fraud Prevention Technique no merchant can afford not to do Details on over 40 Vendors that sell fraud prevention tools and services, along with how to build it in-house Learn the anatomy of a Fraud Prevention Strategy
Author: David A. Montague Publisher: ISBN: 1412218160 Category : Business & Economics Languages : en Pages :
Book Description
Fraud is nothing new to the merchant. Since the beginning of time, man has always looked for the opportunity to defraud others - to gain goods or services without making payment. For the credit card industry, fraud is a part of doing business, and is something that is always a challenge. The merchants that are the best at preventing fraud are the ones that can adapt to change quickly. This book is written to provide information about how to prevent credit card fraud in the card-not-present space (mail order, telephone order, e-commerce). This book is meant to be an introduction to combating fraud, providing the basic concepts around credit card payment, the ways fraud is perpetrated, along with write ups that define and provide best practices on the use of 32 fraud-prevention techniques. 32 Detailed Fraud Prevention Techniques How to catch the Chameleon on the web Top 10 rules to prevent credit card fraud Understand common fraud schemes The one Fraud Prevention Technique no merchant can afford not to do Details on over 40 Vendors that sell fraud prevention tools and services, along with how to build it in-house Learn the anatomy of a Fraud Prevention Strategy
Author: Bart Baesens Publisher: John Wiley & Sons ISBN: 1119146828 Category : Computers Languages : en Pages : 402
Book Description
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 data Utilize labeled, unlabeled, and networked data Detect fraud before the damage cascades Reduce 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.
Author: Sunder Gee Publisher: John Wiley & Sons ISBN: 1118779657 Category : Business & Economics Languages : en Pages : 358
Book Description
Detect fraud faster—no matter how well hidden—with IDEA automation Fraud and Fraud Detection takes an advanced approach to fraud management, providing step-by-step guidance on automating detection and forensics using CaseWare's IDEA software. The book begins by reviewing the major types of fraud, then details the specific computerized tests that can detect them. Readers will learn to use complex data analysis techniques, including automation scripts, allowing easier and more sensitive detection of anomalies that require further review. The companion website provides access to a demo version of IDEA, along with sample scripts that allow readers to immediately test the procedures from the book. Business systems' electronic databases have grown tremendously with the rise of big data, and will continue to increase at significant rates. Fraudulent transactions are easily hidden in these enormous datasets, but Fraud and Fraud Detection helps readers gain the data analytics skills that can bring these anomalies to light. Step-by-step instruction and practical advice provide the specific abilities that will enhance the audit and investigation process. Readers will learn to: Understand the different areas of fraud and their specific detection methods Identify anomalies and risk areas using computerized techniques Develop a step-by-step plan for detecting fraud through data analytics Utilize IDEA software to automate detection and identification procedures The delineation of detection techniques for each type of fraud makes this book a must-have for students and new fraud prevention professionals, and the step-by-step guidance to automation and complex analytics will prove useful for even experienced examiners. With datasets growing exponentially, increasing both the speed and sensitivity of detection helps fraud professionals stay ahead of the game. Fraud and Fraud Detection is a guide to more efficient, more effective fraud identification.
Author: Martina Dove Publisher: Routledge ISBN: 1000334023 Category : Psychology Languages : en Pages : 211
Book Description
The Psychology of Fraud, Persuasion and Scam Techniques provides an in-depth explanation of not only why we fall for scams and how fraudsters use technology and other techniques to manipulate others, but also why fraud prevention advice is not always effective. Starting with how fraud victimisation is perceived by society and why fraud is underreported, the book explores the different types of fraud and the human and demographic factors that make us vulnerable. It explains how fraud has become increasingly sophisticated and how fraudsters use communication, deception and theories of rationality, cognition and judgmental heuristics, as well as specific persuasion and scam techniques, to encourage compliance. Covering frauds including romance scams and phishing attacks such as advance fee frauds and so-called miracle cures, the book explores ways we can learn to spot scams and persuasive communication, with checklists and advice for reflection and protection. Featuring a set of practical guidelines to reduce fraud vulnerability, advice on how to effectively report fraud and educative case studies and examples, this easy-to-read, instructive book is essential reading for fraud prevention specialists, fraud victims and academics and students interested in the psychology of fraud.
Author: Gerard M. Zack Publisher: John Wiley & Sons ISBN: 0470527374 Category : Business & Economics Languages : en Pages : 301
Book Description
Essential guidance on the new fair value rules for accounting managers, auditors, and fraud investigators Fair Value accounting is emerging as the next prime opportunity for financial statement fraud. Explaining the many complex applications of fair value accounting in the preparation of financial statements, Fair Value Accounting Fraud offers timely guidance on an up-and-coming issue as U.S. and international accounting rules pertaining to the use of fair value accounting continue to change. You'll find discussion of U.S. GAAP and IFRS rules on fair value accounting issues, highlighting the areas most vulnerable to fraud Explanations of 75 categories of fair value accounting fraud schemes Fraud risk checklist that you can put to immediate use Practical detection techniques useful for auditors, investigators and others who rely on financial statements Expert advice from Gerard Zack, CFE, CPA, author of Fraud and Abuse in Nonprofit Organizations: A Guide to Prevention and Detection Comparing US accounting standards to International Financial Reporting Standards-thereby making this book useful worldwide- Fair Value Accounting Fraud helps you understand the new rules and develop new auditing and investigative techniques to enable you to detect potential fraud.
Author: David A. Montague Publisher: John Wiley & Sons ISBN: 0470915145 Category : Business & Economics Languages : en Pages : 304
Book Description
Essential guidance for preventing fraud in the card-not-present (CNP) space This book focuses on the prevention of fraud for the card-not-present transaction. The payment process, fraud schemes, and fraud techniques will all focus on these types of transactions ahead. Reveals the top 45 fraud prevention techniques Uniquely focuses on eCommerce fraud essentials Provides the basic concepts around CNP payments and the ways fraud is perpetrated If you do business online, you know fraud is a part of doing business. Essentials of On-line Payment Security and Fraud Prevention equips you to prevent fraud in the CNP space.
Author: Joseph R. Petrucelli Publisher: John Wiley & Sons ISBN: 1118237358 Category : Business & Economics Languages : en Pages : 384
Book Description
A savvy examination of where people and value meet, creating the opportunity for fraud An essential reference for all business professionals, Detecting Fraud in Organizations: Techniques, Tools, and Resources explains the process of how people commit fraud, as well as how to prevent and stop fraud from occurring in your organization. Organized by business processes which succinctly describe how fraud manifests itself on a daily basis, the authors explain ways in which everyone can help guard against fraud by familiarizing themselves with its building blocks and methods used to perpetrate and conceal it. Filled with situational examples the book is accompanied by a website featuring fraud simulations, business process maps, and other useful tools for combating fraud. Focuses on the people who perpetrate fraud and those who are tasked with preventing and detecting it Uniquely organized by business processes for more relevance and easier understanding by those people working within organizations Shows how subtle factors play a large role in identifying and ferreting out fraud in addition to the traditional knowledge of fraud schemes giving people and organizations the edge they need to be successful in prevention and deterrence Companion website includes additional fraud simulations, business process maps, and useful tools The price of fraud can be devastating to your business. Detecting Fraud in Organizations: Techniques, Tools, and Resources equips you and others in your organization with essential information and tools necessary to proactively catch fraud, reduce losses, improve efficiencies and develop actionable controls.