论文标题
关于流失分析的调查
A Survey on Churn Analysis
论文作者
论文摘要
在本文中，我提出了迄今已发布的流失预测技术。互联网服务，游戏，保险和管理领域使用Churn预测。但是，由于它已被大量用于提高各个行业/学术领域的可预测性，因此其定义和利用率存在很大差异。在本文中，我收集了工商管理，营销，IT，电信，报纸，保险和心理学领域中使用的流失的定义，并描述了它们的差异。基于此，我对流失损失，功能工程和预测模型进行了分类和解释。我们的研究可用于选择流失及其相关模型的定义，适合研究人员通过在行业/学术领域中整合零散的流失研究来最感兴趣的服务领域。
In this paper, I present churn prediction techniques that have been released so far. Churn prediction is used in the fields of Internet services, games, insurance, and management. However, since it has been used intensively to increase the predictability of various industry/academic fields, there is a big difference in its definition and utilization. In this paper, I collected the definitions of churn used in the fields of business administration, marketing, IT, telecommunications, newspapers, insurance and psychology, and described their differences. Based on this, I classified and explained churn loss, feature engineering, and prediction models. Our study can be used to select the definition of churn and its associated models suitable for the service field that researchers are most interested in by integrating fragmented churn studies in industry/academic fields.
