한국경영과학회:학술대회논문집 (Proceedings of the Korean Operations and Management Science Society Conference)

한국경영과학회 (The Korean Operations Research and Management Science Society)
권호 표지

인공신경망과 귀납규칙기법을 이용한 제품별 예상 구매고객예측

Identifying prospective buyers for specific products using artificial neural network and induction rules

  • 이건호 (숭실대학교 산업정보시스템공학과) ;
  • 정수미 (숭실대학교 일반대학원 산업정보시스템공학과) ;
  • 정병희 (숭실대학교 산업정보시스템공학과)
  • 발행 : 2004.10.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

It is effective and desirable for a proper customer relational management(CRM) to send an email of product sales' advertisement bills for the prospective customers rather than to send spam mails for non specific customers. This study identifies the prospective customers with high probability to buy the specific products using Artificial Neural Network(ANN) and Induction Rule(IR) technique. We suggest an integrated model, IRANN of ANN and IR of decision tree program C5.0 and, also compare and analyze the accuracy of ANN, IR, and IRANN each other.

키워드