宁德师范学院学报：自然科学版
寧德師範學院學報：自然科學版
저덕사범학원학보：자연과학판
Journal of Ningde Teachers College(Natural Science)
2012年
2期
197-200
,共4页
数据挖掘%logistic模型%精确营销
數據挖掘%logistic模型%精確營銷
수거알굴%logistic모형%정학영소
data mining%logistic model%accurate marketing
应用spssclementine数据挖掘工具构建logistic模型来预测潜在目标用户购买通信产品的概率,通过模型预测结果对购买通信产品概率比较高的用户进行产品推销,提高营销准确率,从而实现产品从粗放式营销到精确化营销,以节省通信企业投入成本,提高通信企业运营效益.
應用spssclementine數據挖掘工具構建logistic模型來預測潛在目標用戶購買通信產品的概率,通過模型預測結果對購買通信產品概率比較高的用戶進行產品推銷,提高營銷準確率,從而實現產品從粗放式營銷到精確化營銷,以節省通信企業投入成本,提高通信企業運營效益.
응용spssclementine수거알굴공구구건logistic모형래예측잠재목표용호구매통신산품적개솔,통과모형예측결과대구매통신산품개솔비교고적용호진행산품추소,제고영소준학솔,종이실현산품종조방식영소도정학화영소,이절성통신기업투입성본,제고통신기업운영효익.
The paper applies the SPSS Clementine data mining tool to building a logistic model to predict the probability of the potential goal customers.Depended on the results,the model can be used to promote the products to the goal customers.Eventually,the accurate marketing can reduce the cost of the operation of the telecommunication business.
