[Use Case]: RuleML use cases: e-Commerce Fraud Detection

Hi everyone,

This is a simplified version of a more elaborate use case on fraud
detection.

Description:
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Online fraud is a challenging problem for many companies doing business on
the internet. Although many solutions have been implemented, the problem
remains a top priority. We considered the fraud detection use case to show
how we can achieve the reusability of anti-fraud policies and suport the
interoprability and integration requirements (rules, web services, general
policies, customer preferences, etc).

Subset of rules from the use case Rulebase:
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<rule id=1>SUSPECT COUNTRY: Orders from a country member of a restricted
list with high incidence of fraud require more verification</rule>

<rule id=2>SUSPECT EMAIL: Reject the order if email untraceable</rule>

<rule id=3>ORDER VELOCITY: If the number of orders per hour exceeds a
certain set threshold, flag order and request verification</rule>

<rule id=4>MULTIPLE ExPENSIVE ITEMS: If the customer orders multiple items
of the same expensive product (exceeding a set limit), flag order and
request verification</rule>