Assessment The most interesting part in Gupta’s article is in her conclusion. The author notes that fraud in the health sector is a reality and should be exposed. Gupta further states that clinical operations are vulnerable to fraud because the system lacks effective mechanisms to detect‚ investigate‚ and prosecute individuals or groups of people who engage in fraud. Finally‚ the author calls on everyone in the health sector to develop a culture of research‚ which should be based on fundamentals
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Can Norton antivirus detect worm’s virus? Fadi M.S Al-suhimat Recent Internet worm outbreaks have infected hundreds of thousands of Internet servers and user machines within minutes‚ causing billions of dollars in losses for businesses‚ governments‚ and service providers. The high stakes involved have inspired numerous research projects‚ through which industry and academic institutions are working to strengthen local-area and wide-area networked systems’ abilities to fend off cyber-attacks. To
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May 2011 pp. 19–50 American Accounting Association DOI: 10.2308/ajpt-50009 Financial Statement Fraud Detection: An Analysis of Statistical and Machine Learning Algorithms Johan Perols SUMMARY: This study compares the performance of six popular statistical and machine learning models in detecting financial statement fraud under different assumptions of misclassification costs and ratios of fraud firms to nonfraud firms. The results show‚ somewhat surprisingly‚ that logistic regression and support
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types of fraud have occurred since the 1800s. As the economy fluctuates‚ many people and organizations believe they must commit fraud in order to have financial gain. Organizations and individuals must understand fraud and the types of fraud‚ in order to protect themselves. There are professionals trained that have received anti-fraud certification in order to fight against fraud. The anti-fraud professional assist companies and individuals in order to detect fraud. Theses anti-fraud specialists
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SMS CUSAT Reading Material on Data Mining Anas AP & Alex Titty John • What is Data? Data is a collection of facts and information or unprocessed information. Example: Student names‚ Addresses‚ Phone Numbers etc. • What is a Database? A structured set of data held in a computer which is accessible in various ways. Example: Electronic Address Book‚ Phone Book. • What is a Data Warehouse? The electronic storage of large amount of data by business. Concept originated in
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Lisa D. Green Ms. Fahle English 112 15 Jul 2013 When Help Turns to Abuse I can remember the conversation as if it was yesterday. While in a grocery store walking in the grocery aisle‚ I overheard a woman talking to another woman and her husband. The part that caught my attention was the young lady saying‚ “I can get you the cheese‚ milk‚ and eggs with my WIC‚ and all you have to do is give me the money when we leave the store.” I knew this wasn’t right‚ so I made sure I was at
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forecasts by Wall Street analysts. (2004)‚ “Corporate scandals are now staples of front-page news as shareholders demand accountability for billions of dollars lost. Still‚ the U.S. government says the Rigases ’ case is one of the worst ever of financial fraud” (para. 3). Adelphia scandal consisted of six members‚ John Rigas‚ Timothy Rigas‚ Michae; Rigas‚ James Rigas‚ James R. Brown and Michael Mulcahey. These members of the scandal committed many crimes based on selfishness‚ greed‚ and power. Their management
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and important‚ tool in gaining this knowledge is Data Mining. Data Mining is a set of automated procedures used to find previously unknown patterns and relationships in data. These patterns and relationships‚ once extracted‚ can be used to make valid predictions about the behavior of the customer. Data Mining is generally used for four main tasks: (1) to improve the process of making new customers and retaining customers; (2) to reduce fraud; (3) to identify internal wastefulness and deal with
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Data Warehousing‚ Data Marts and Data Mining Data Marts A data mart is a subset of an organizational data store‚ usually oriented to a specific purpose or major data subject‚ that may be distributed to support business needs. Data marts are analytical data stores designed to focus on specific business functions for a specific community within an organization. Data marts are often derived from subsets of data in a data warehouse‚ though in the bottom-up data warehouse design methodology the data
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becoming more common is counterfeit money scams and committing fraud towards a financial institution. One of the most recent cases of counterfeiting is the the ring of five men that circulated six million dollars worth in the money market. I come across this crime on regular basis at work. I work as a deposit loss prevention analyst at a bank here in Norman. My coworker wonder why people deposit counterfeit checks into the bank and commit fraud on our clients accounts. I say people commit this crime becuase
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