한국경영과학회지 (Journal of the Korean Operations Research and Management Science Society)

  • 제30권4호
  • /
  • Pages.117-130
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  • 2005
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  • 1225-1119(pISSN)
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  • 2733-4759(eISSN)
한국경영과학회 (The Korean Operations Research and Management Science Society)
권호 표지

제품별 구매고객 예측을 위한 인공신경망, 귀납규칙 및 IRANN모형

Artificial Neural Network, Induction Rules, and IRANN to Forecast Purchasers for a Specific Product

  • 정수미 (숭실대학교 산업정보시스템공학과) ;
  • 이건호 (숭실대학교 산업정보시스템공학과)
  • 발행 : 2005.12.01
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초록

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.

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