e-CRM에서 개인화 향상을 위한 의사결정나무 사용에 관한 연구
(주)코리아스칼라
- 최초 등록일
- 2016.04.02
- 최종 저작일
- 2003.09
- 13페이지/ 어도비 PDF
- 가격 4,500원
* 본 문서는 배포용으로 복사 및 편집이 불가합니다.
서지정보
ㆍ발행기관 : 대한안전경영과학회
ㆍ수록지정보 : 대한안전경영과학회지 / 5권 / 3호
ㆍ저자명 : 양정희, 한서정
영어 초록
Expectation and interest about e-CRM are rising for more efficient customer management in on-line including electronic commerce. The decision-making tree can be used usefully as the data mining technology for e-CRM. In this paper, the representative decision making techniques, CART, C4.5, CHAID analyzed the differences in personalization point of view with actuality customer data through an experiment. With these analysis data, it is proposed a new decision-making tree system that has big advantage in personalization techniques. Through new system, it can get following advantage. First, it can form superior model more qualitatively in personalization by adding individual's weight value. Second it can supply information personalized more to customer. Third, it can have high position about customer's loyalty than other site of similar types of business. Fourth, it can reduce expense that cost marketing and decision-making. Fifth, it becomes possible that know that customer through smooth communication with customer who use personalized service wants and make from goods or service's quality to more worth thing.
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