关键词: 协同产品创新, 创新客户, 流失预测, 支持向量机

Abstract: To reduce the loss of innovative customers churn for collaborative product innovation process and enterprise,and to identify the innovative customers intended to leave in collaborative products innovation effectively,the improved cost sensitive support vector machines model was put forward to predict the innovative customer churn.On the basis of analyzing the characteristics of the innovative customer churn prediction,the research framework of innovative customer churn prediction was presented.Aiming at the problem that most of the traditional classification algorithms taking the predict accuracy as goal,which ignored the cost of customer churn classification as errors and the unbalance of dataset,the innovative customer churn prediction model based on improved cost sensitive support vector machines was built.As indicated by the results of application,the validity and feasibility of proposed prediction model was indicated.

Key words: collaborative products innovation, innovative customer, churn prediction, support vector machines