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Fraud Detection by Machine Learning

June 9, 2016 4:31 pm Published by Leave your thoughts According to an empirical multiple discriminant analysis, one customer noted that some states parameters of an order were heavily involved in fraud. For example, it was found that some specific products or postal relay had a high rate of fraud made by its expertise from its own experience of several [...]

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E-commerce fraud prevention using a weekly statistical model

E-commerce fraud prevention using a weekly statistical model

April 23, 2015 10:51 am Published by Leave your thoughts In order to prevent e-commerce fraud, you need to be aware that frauds has their own characteristics due to their nature. Indeed, fraudsters are not standard buyer like everyone else because of their goals which are different from a standard buyer. Those “cyber-thieves” would have a result-oriented behaviors when normal people would have a [...]

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E-commerce fraud prevention using a monthly statistical model

March 11, 2015 2:20 pm Published by Leave your thoughts In order to prevent e-commerce fraud, you need to be aware that frauds has their own characteristics due to their nature. Indeed, fraudsters are not standard buyer like everyone else because of their goals which are different from a standard buyer. Those “cyber-thieves” would have a result-oriented behaviors when normal people would have a [...]

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