Mining optimized association rules for numeric attributes

Abstract

96, Montreal Quebec Canada @ 1996 ACM ()-89791 -781 -'2/9 fj/fj6. ,$3.50 1 Recent progress in technologies for data input through such media as bar-coded labels, credit cards, OCRS, and cash dispensers, have made it easier for finance and retail organizations to collect massive amounts of data and to store them on disk at a low cost. Such organizations are interested in extracting from these huge databases unknown information that inspires new marketing strategies.