?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Data+Mining+Using+Relational+Database+Management+Systems&rft.creator=Beibei%2C+Zou&rft.creator=Xuesong%2C+Ma&rft.creator=Bettina%2C+Kemme&rft.creator=Glen%2C+Newton&rft.creator=Doina%2C+Precup&rft.subject=Machine+Learning&rft.description=Software+packages+providing+a+whole+set+of+data+mining+and+machine+learning+algorithms+are+attractive+because+they+allow+experimentation+with+many+kinds+of+algorithms+in+an+easy+setup.+However%2C+these+packages+are+often+based+on+main-memory+data+structures%2C+limiting+the+amount+of+data+they+can+handle.+In+this+paper+we+use+a+relational+database+as+secondary+storage+in+order+to+eliminate+this+limitation.+Unlike+existing+approaches%2C+which+often+focus+on+optimizing+a+single+algorithm+to+work+with+a+database+backend%2C+we+propose+a+general+approach%2C+which+provides+a+database+interface+for+several+algorithms+at+once.+We+have+taken+a+popular+machine+learning+software+package%2C+Weka%2C+and+added+a+relational+storage+manager+as+back-tier+to+the+system.+The+extension+is+transparent+to+the+algorithms+implemented+in+Weka%2C+since+it+is+hidden+behind+Weka%E2%80%99s+standard+main-memory+data+structure+interface.+Furthermore%2C+some+general+mining+tasks+are+transfered+into+the+database+system+to+speed+up+execution.+We+tested+the+extended+system%2C+refered+to+as+WekaDB%2C+and+our+results+show+that+it+achieves+a+much+higher+scalability+than+Weka%2C+while+providing+the+same+output+and+maintaining+good+computation+time.&rft.date=2006-01&rft.type=Preprint&rft.type=NonPeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F4851%2F1%2Fpaper2006.01.18.pdf&rft.identifier=++Beibei%2C+Zou+and+Xuesong%2C+Ma+and+Bettina%2C+Kemme+and+Glen%2C+Newton+and+Doina%2C+Precup++(2006)+Data+Mining+Using+Relational+Database+Management+Systems.++%5BPreprint%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F4851%2F