JAM: Java agents for Meta-Learning over Distributed Databases
JAM: Java agents for Meta-Learning over Distributed Databases
JAM: Java agents for Meta-Learning over Distributed Databases
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(adierentone<strong>for</strong>eachbank)ratherthanDB.)EachsuchmappingisFi. // (Thisisexactlyasinstep(iii)ofapproach1,exceptthedatasetused<strong>for</strong>combiningisTi Figure4:Sharingknowledgewithoutsharingdata //<br />
reallyexpectthatFiisallthatmuchbetterinpredictiveaccuracythanaclassiersimply DBcomesfrom,orhowitmightbe<strong>for</strong>med.However,thereisadierentissue-wouldone trainedontheentiresetofavailabledata,DBiSTi?Afterall,theFiarecreatedbylooking solelyatbanki'slocaldata;thefj6=iareinessencejustnewfeaturesbankicanusetolook Thislatterapproachisdepictedingure4.Notethatnowthereisnoissueofwhere iv)EachbankusesitsFiasinstep(iv)ofapproach1.<br />
Classifier<br />
Hereweprovideageneralviewofthedataschema<strong>for</strong>thelabelledtransactiondatasets aredescribednext. 5CreditCardFraudTransactionData atitsdata.Formalstudiesareunderwaytoanswerthisquestion.Somepreliminaryresults<br />
compiledbyabankandusedbyoursystem.Forpurposesofourresearchanddevelopment recordsspanningoneyear,sampling,onaverage,42,000permonth,fromNovember1995to October1996. activity,severaldatasetsarebeingacquiredfromseveralbanks,eachproviding.5million in<strong>for</strong>mationisnotdisclosedhere.(Afterallweseeknottoteach\wanabethieves"important schemaofthisdataisprovidedinsuchawaythatimportantcondentialandproprietary about30numericattributesincludingthebinaryclassication(fraud/legitimatetransac- lessonsonhowtohonetheirskills.)Therecordshaveaxedlengthof137byteseachand ysisbybankpersonneltocaptureimportantin<strong>for</strong>mation<strong>for</strong>frauddetection.Thegeneraltion).Someoftheeldsarearithmeticandtherestcategorical,i.e.numberswereusedtoTheschemaofthedatabasewasdeveloped<strong>over</strong>yearsofexperienceandcontinuousanal- representafewdiscretecategories.Thein<strong>for</strong>mationineachrecordincludes: A(non-revealing)hashedcreditcardaccountnumber. Scoresproducedbyacommercialauthorization/detectionsystem Thedateandtimeofeachtransaction10<br />
Local<br />
Classifier<br />
Remote<br />
Classifier 1<br />
Local<br />
<strong>Meta</strong>classifier<br />
<strong>Meta</strong>-level<br />
Training<br />
Data<br />
Remote<br />
2<br />
Remote<br />
Classifier n