Research Model of Churn Prediction Based on Customer Segmentation and Misclassification Cost in the Context of Big Data

• 作者: Yong Liu Yongrui Zhuang
• 来源期刊: 电脑和通信(英文)
• 学科: 医学
• 关键词: BIG Data CHURN Prediction CUSTOMER SEGMENTATION MISCLASSIFICATION COST
• 年，卷（期）: 2015,（6）
• 页码范围: 87-93
• 页数: 7页
• 分类号: R73

摘要

Enterprises have vast amounts of customer behavior data in the era of big data. How to take advantage of these data to evaluate custom forfeit risks effectively is a common issue faced by enterprises. Most of traditional customer churn predicting models ignore customer segmentation and misclassification cost, which reduces the rationality of model. Dealing with these deficiencies, we established a research model of customer churn based on customer segmentation and misclassification cost. We utilized this model to analyze customer behavior data of a telecom company. The results show that this model is better than those models without customer segmentation and misclassification cost in terms of the performance, accuracy and coverage of model.