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Sample text
With the increase in available, cheap data storage, companies are keeping terabytes of information about their customers. Today, it is not outrageous to talk about one-to-one marketing. However, marketers face two problems. They may have information about previous customers, but how could they get personal information about potential customers? Secondly, if information about individuals is truly not accessible, how could they classify such individuals into small categories and then market effectively to these small categories?
Ank _ mn , D > Raising, to Enhance Rule Mining in Web Marketing with the Use of an Ontology R3 (T) =
Mannila, Toivonen, and Verkamo (1994) worked on improving algorithms for finding associations rules, by eliminating unnecessary candidate rules. Berzal, Blanco, Sanchez, and Vila (2001) have worked on a problem that is in some sense the diametrical opposite of the problem in this research. They are trying to eliminate misleading rules that are the result of too high support values. The problem of generating association rules when the available support is too low to derive practically useful rules is being addressed here.