2001-04-10
org.kosen.entty.User@19af68d0
강지훈(kosen1)
분야
과학기술과 인문사회
발행기관
Paul B. Chou, Edna Grossman, Dimitrios Gunopulos, Pasumarti Kamesam
발행일
2000/02/02
URL
IBM 연구보고서 (1999.11.30)
Abstract
We describe data mining techniques desinged to address the problem of selecting prospective cusomers from a large pool of candidates. These techniques cover a number of different scenarios, namely whether the marketing researchers have demographic information on the current customers, or the general market population, or people with propensity to become customers. These techniques use fundamental data mining operations, such as clustering and decision tree induction. We also present a novel approach to the problem by exploiting the availability of a data sample from the general market population.
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