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제품별 구매고객 예측을 위한 인공신경망, 귀납규칙 및 IRANN 모형Artificial Neural Network, Induction Rules, and IRANN to Forecast Purchasers for a Specific Product
- Other Titles
- Artificial Neural Network, Induction Rules, and IRANN to Forecast Purchasers for a Specific Product
- Issue Date
- Dec-2005
- Publisher
- 한국경영과학회
- Keywords
- Forecasting Purchasers; Customized Marketing; Induction Rule; Neural Network
- Citation
- 한국경영과학회지, v.30, no.4, pp.117 - 130
- Journal Title
- 한국경영과학회지
- Volume
- 30
- Number
- 4
- Start Page
- 117
- End Page
- 130
- ISSN
- 1225-1119
- Abstract
- 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 classify 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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Related Researcher
- Lee, Gun Ho
- College of Engineering (Department of Industrial & Information Systems Engineering)