- 제품별 구매고객 예측을 위한 인공신경망, 귀납규칙 및 IRANN모형
- ㆍ 저자명
- 정수미,이건호,Jung. Su-Mi,Lee. Gun-Ho
- ㆍ 간행물명
- 韓國經營科學會誌
- ㆍ 권/호정보
- 2005년|30권 4호|pp.117-130 (14 pages)
- ㆍ 발행정보
- 한국경영과학회
- ㆍ 파일정보
- 정기간행물| PDF텍스트
- ㆍ 주제분야
- 기타
It is effective and desirable for a proper customer relationship management or marketing to focus on the specific customers rather than a number of non specific customers. This study forecasts the prospective purchasers with high probability to purchase a specific product. Artificial Neural Network( ANN) can classily the characteristics of the prospective purchasers but ANN has a limitation in comprehending of outputs. ANN is integrated into IRANN with IR of decision tree program C5.0 to comprehend and analyze the outputs of ANN. We compare and analyze the accuracy of ANN, IR, and IRANN each other.