Use of Data Mining in Fraud Detection Focus on ACL Hofstra University Abstract This paper explore how business data mining software are used in fraud detection. In the paper‚ we discuss the fraud‚ fraud types and cost of fraud. In order to reduce the cost of fraud‚ companies can use data mining to detect the fraud. There are two methods: focus on all transaction data and focus on particular risks. There are several data mining software on the market‚ we introduce seven
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Inventory-Related Fraud Detection: • Beside revenue related fraud‚ the Antars also overstated their inventory. If inventory is overstated‚ the cost of goods sold is understated‚ and gross margins and net incomes are overstated. o Crazy Eddie had a close relationship with one of their vendors known as Wren Distributors. Crazy Eddie was Wren’s largest customer‚ accounting for 35% of their revenues. o Crazy Eddie ordered 10% of their total inventory from Wren so Sam Antar asked Wren to ship $3
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Impact and Prevention of Inventory Fraud The root of this problem lies within the organizations’ employees. Honest employees are a valuable asset‚ since the theft of inventory costs US companies a great deal of money every year. Perpetrators of this act may rationalize their behavior as not being criminal‚ so where does it begin or where does it stop? There is no easy solution or one way to combat inventory fraud‚ but companies can take measures to prevent this from occurring. Also‚ Organizations
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Auditor’s Responsibilities in Fraud and Error Detection Auditing October 17‚ 2011 Auditor’s Responsibilities in Fraud and Error Detection In recent years‚ scandals such as Enron and WorldCom have not only brought up the question “Where were the auditors?‚” but have also brought to our nation’s attention that auditing of public companies must be done with more precision and must have guidelines on the proper way to account for different items. Fraud‚ illegal acts‚ and errors happen every day
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Analysis on Credit Card Fraud Detection Methods 1 1 S. Benson Edwin Raj‚ 2A. Annie Portia Assistant Professor (SG)‚ P.G.‚ 2Scholar Department of CSE Karunya University‚ Coimbatore counter the credit card fraud effectively‚ it is necessary to understand the technologies involved in detecting credit card frauds and to identify various types of credit card frauds [20] [21] [22] . There are multiple algorithms for credit card fraud detection [21] [29]. They are artificial neural-network models which
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READINESS OF GOVERNMENT AUDITORS IN FRAUD DETECTION IN MALAYSIA 1.0 PROBLEM STATEMENT 1.1 Public sector governance requires the controlling and accounting officers to discharge their responsibilities of stewardship of public resources by being open‚ accountable‚ prudent in decision making‚ managing and delivering results. The provision of the Financial Procedure Act 1957 also places a high premium for controlling officers to be personally responsible and accountable for propriety and accountability
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FRAUD PREVENTION AND CONTROL IN NIGERIAN PUBLIC SERVICE: THE NEED FOR A DIMENSIONAL APPROACH BY BELLO SABO Department of Business Administration‚ A.B.U. Zaria ABSTRACT This article addresses some fundamental issues on fraud prevention and control and their implications on socio-economic development of Nigeria using its public sector machinery. Using the records compiled from early study covering 637 reported fraud cases in Nigeria‚ which were committed between 1970-1990 in respect
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SYNOPSIS The project titled “CREDIT CARD FRAUD DETECTION” detects the fraudulent card during transactions and alerts the customer regarding the fraud. This project also aims in minimizing the number of false alerts. The concept of genetic algorithm is a novel one in this application domain. The algorithm begins with multi-population of randomly generated chromosomes. These chromosomes undergo the operations of selection‚ crossover and mutation. Crossover combines the information from two parent
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Can corporate fraud ever be eliminated from the workplace? Abstract Corporate fraud has been a growing issue since Enron bankruptcy. The factors that contribute to the occurrence of corporate fraud are hard to control and methods used to prevent and detect fraud both by internal control and outside auditing have unavoidable weaknesses. Despite all the effort being made‚ it is highly unlikely that corporate fraud can be eliminated from the workplace. Introduction After Enron scandal got
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business environment. Trends observed indicate a need for increasing secure management. Review of scholarly journals‚ industry publications and text books were performed to gather data. Findings support that implementation of fraud reporting mechanisms assist in detecting fraud. Abstract 3 Introduction 4 What is Password Hashing? 4 Defined 4 Hashing Methodologies 5 How Password Hashing is Used 6 Add SALT for Taste? 7 Who Should Care and Why Hashing is Important 8 Individual Users
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