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migrated FraudControl and RatingEngine to RuleML 0.9
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ddossot committed Jul 20, 2006
1 parent c6e36a7 commit a7cb58c
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Showing 4 changed files with 286 additions and 432 deletions.
2 changes: 1 addition & 1 deletion NxBRE3/Examples/Fraudcontrol/FraudControl.cs
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Expand Up @@ -19,7 +19,7 @@ public class FraudControl {

// instantiate an inference engine, bind my data and process the rules
IInferenceEngine ie = new IEImpl(binder);
ie.LoadRuleBase(new RuleML08DatalogAdapter(ruleBaseFile, System.IO.FileAccess.Read));
ie.LoadRuleBase(new RuleML09NafDatalogAdapter(ruleBaseFile, System.IO.FileAccess.Read));
ie.Process(businessObjects);

// processing is done, let's analyze the results
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2 changes: 1 addition & 1 deletion NxBRE3/Examples/Telco/RatingEngine.cs
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Expand Up @@ -24,7 +24,7 @@ private void HandleNewFactEvent(NewFactEventArgs nfea)

if (verbosityLevel >= 1) ie.NewFactHandler += new NewFactEvent(HandleNewFactEvent);

ie.LoadRuleBase(new RuleML086DatalogAdapter(ruleBaseFile, System.IO.FileAccess.Read));
ie.LoadRuleBase(new RuleML09NafDatalogAdapter(ruleBaseFile, System.IO.FileAccess.Read));

}

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253 changes: 101 additions & 152 deletions NxBRE3/Rulefiles/fraudcontrol.ruleml
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@@ -1,5 +1,4 @@
<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE rulebase SYSTEM "ruleml-0_8-datalog.dtd">
<!--
NxBRE Inference engine Sample Rule Base
Expand All @@ -9,163 +8,113 @@
Note: In a real fraud control system, instead of counting the risk factors as demonstrated in this rulebase, scores would be assigned to different risks and these scores would be added to a business object property via the new fact event.
-->
<rulebase direction="forward">
<_rbaselab>
<ind>Fraud Control Knowledge Base</ind>
</_rbaselab>
<RuleML xmlns="http://www.ruleml.org/0.9/xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.ruleml.org/0.9/xsd ruleml-0_9-nafdatalog.xsd">
<oid>
<Ind>Fraud Control Knowledge Base</Ind>
</oid>
<Assert>
<!--
Implications
-->
<imp>
<_rlab>
<ind>Tax Haven Fraud Factor Assessment</ind>
</_rlab>
<_head>
<atom>
<_opr>
<rel>Fraud Factor</rel>
</_opr>
<var>Customer</var>
<ind>Tax Haven</ind>
</atom>
</_head>
<_body>
<and>
<atom>
<_opr>
<rel>Location</rel>
</_opr>
<var>Customer</var>
<var>Country Code</var>
</atom>
<atom>
<_opr>
<rel>Tax Haven</rel>
</_opr>
<var>Country Code</var>
</atom>
</and>
</_body>
</imp>
<imp>
<_rlab>
<ind>Huge Transaction Assessment</ind>
</_rlab>
<_head>
<atom>
<_opr>
<rel>Fraud Factor</rel>
</_opr>
<var>Customer</var>
<ind>Huge Transaction</ind>
</atom>
</_head>
<_body>
<and>
<atom>
<_opr>
<rel>Involved In</rel>
</_opr>
<var>Customer</var>
<var>Transaction</var>
</atom>
<atom>
<_opr>
<rel>Amount</rel>
</_opr>
<var>Transaction</var>
<ind>min(150000,EUR)</ind>
</atom>
</and>
</_body>
</imp>
<imp>
<_rlab>
<ind>Fraudulent Customer Assessment</ind>
</_rlab>
<_head>
<atom>
<_opr>
<rel>Fraudulent Customer</rel>
</_opr>
<var>Customer</var>
</atom>
</_head>
<_body>
<and>
<atom>
<_opr>
<rel>Fraud Factor</rel>
</_opr>
<var>Customer</var>
<var>Type1</var>
</atom>
<atom>
<_opr>
<rel>Fraud Factor</rel>
</_opr>
<var>Customer</var>
<var>Type2</var>
</atom>
</and>
</_body>
</imp>
<Implies>
<oid>
<Ind>Tax Haven Fraud Factor Assessment</Ind>
</oid>
<And>
<Atom>
<Rel>Location</Rel>
<Var>Customer</Var>
<Var>Country Code</Var>
</Atom>
<Atom>
<Rel>Tax Haven</Rel>
<Var>Country Code</Var>
</Atom>
</And>
<Atom>
<Rel>Fraud Factor</Rel>
<Var>Customer</Var>
<Ind>Tax Haven</Ind>
</Atom>
</Implies>
<Implies>
<oid>
<Ind>Huge Transaction Assessment</Ind>
</oid>
<And>
<Atom>
<Rel>Involved In</Rel>
<Var>Customer</Var>
<Var>Transaction</Var>
</Atom>
<Atom>
<Rel>Amount</Rel>
<Var>Transaction</Var>
<Ind uri="nxbre://binder">min(150000,EUR)</Ind>
</Atom>
</And>
<Atom>
<Rel>Fraud Factor</Rel>
<Var>Customer</Var>
<Ind>Huge Transaction</Ind>
</Atom>
</Implies>
<Implies>
<oid>
<Ind>Fraudulent Customer Assessment</Ind>
</oid>
<And>
<Atom>
<Rel>Fraud Factor</Rel>
<Var>Customer</Var>
<Var>Type1</Var>
</Atom>
<Atom>
<Rel>Fraud Factor</Rel>
<Var>Customer</Var>
<Var>Type2</Var>
</Atom>
</And>
<Atom>
<Rel>Fraudulent Customer</Rel>
<Var>Customer</Var>
</Atom>
</Implies>
<!--
Facts
-->
<fact>
<_rlab>
<ind>CC01-TH</ind>
</_rlab>
<_head>
<atom>
<_opr>
<rel>Tax Haven</rel>
</_opr>
<ind>CC01</ind>
</atom>
</_head>
</fact>
<fact>
<_rlab>
<ind>CC02-TH</ind>
</_rlab>
<_head>
<atom>
<_opr>
<rel>Tax Haven</rel>
</_opr>
<ind>CC02</ind>
</atom>
</_head>
</fact>
<fact>
<_rlab>
<ind>CC99-TH</ind>
</_rlab>
<_head>
<atom>
<_opr>
<rel>Tax Haven</rel>
</_opr>
<ind>CC99</ind>
</atom>
</_head>
</fact>
<Atom>
<oid>
<Ind>CC01-TH</Ind>
</oid>
<Rel>Tax Haven</Rel>
<Ind>CC01</Ind>
</Atom>
<Atom>
<oid>
<Ind>CC02-TH</Ind>
</oid>
<Rel>Tax Haven</Rel>
<Ind>CC02</Ind>
</Atom>
<Atom>
<oid>
<Ind>CC99-TH</Ind>
</oid>
<Rel>Tax Haven</Rel>
<Ind>CC99</Ind>
</Atom>
</Assert>
<!--
Queries
-->
<query>
<_rlab>
<ind>Fraudulent Customers</ind>
</_rlab>
<_body>
<atom>
<_opr>
<rel>Fraudulent Customer</rel>
</_opr>
<var>Customer</var>
</atom>
</_body>
</query>
</rulebase>
<Query>
<oid>
<Ind>Fraudulent Customers</Ind>
</oid>
<Atom>
<Rel>Fraudulent Customer</Rel>
<Var>Customer</Var>
</Atom>
</Query>
</RuleML>

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