?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Fmiis.maths.ox.ac.uk%2Fmiis%2F191%2F&rft.title=Product-Driven+Data+Mining&rft.creator=Bohun%2C+C.+Sean&rft.subject=Retail&rft.subject=Information+and+communication+technology&rft.description=Manifold+Data+Mining+has+developed+innovative+demographic+and+household+spending+pattern+databases+for+six-digit+postal+codes+in+Canada.+Their+collection+of+information+consists+of+both+demographic+and+expenditure+variables+which+are+expressed+through+thousands+of+individually+tracked+factors.+This+large++collection+of+information+about+consumer+behaviour+is+typically+referred+to+as+a+mine.+Although+very+large+in+practice%2C+for+the+purposes+of+this+report%2C+the+data+mine+consisted+of+%24m%24+individuals+and+%24n%24+factors+where+%24m+%5Csim+2000%24+and+%24n+%5Csim+50%24+.+Ideally%2C+the+first+algorithm+would+identify+a+few+factors+in+the+data+mine+which+would+differentiate+customers+in+terms+of+a+particular+product+preference.+Then+the+second+algorithm+would+build+on+this+information+by+looking+for+patterns+in+the+data+mine+which+would+identify+related+areas+of+consumer+spending.%0A%0ATo+test+the+algorithms+two+case+studies+were+undertaken.+The+first+study+involved+differentiating+BMW+and+Honda+car+owners.+The+algorithms+developed+were+reasonably+successful+at+both+finding+questions+that+differentiate+these+two+populations+and+identifying+common+characteristics+amongst+the+groups+of+respondents.+For+the+second+case+study+it+was+hoped+that+the+same+algorithms+could+differentiate+between+consumers+of+two+brands+of+beer.+In+this+case+the+first+algorithm+was+not+as+successful+as+differentiating+between+all+groups%3B+it+showed+some+distinctions+between+beer+drinkers+and+non-beer+drinkers%2C+but+not+as+clearly+defined+as+in+the+first+case+study.+The+second+algorithm+was+then+used+successfully+to+further+identify+spending+patterns+once+this+distinction+was+made.+In+this+second+case+study+a+deeper+factor+analysis+could+be+used+to+identify+a+combination+of+factors+which+could+be+used+in+the+first+algorithm.&rft.date=2003&rft.type=Study+Group+Report&rft.type=NonPeerReviewed&rft.format=application%2Fpdf&rft.language=en&rft.identifier=http%3A%2F%2Fmiis.maths.ox.ac.uk%2Fmiis%2F191%2F1%2Fmanifold.pdf&rft.identifier=++Bohun%2C+C.+Sean++(2003)+Product-Driven+Data+Mining.++%5BStudy+Group+Report%5D+++++