Developing Churn Models Using Data Mining Techniques and Social Network Analysis

Churn prediction, recognition, and mitigation have become essential topics in various industries. As a means for forecasting and manageing risk, further research in this field can greatly assist companies in making informed decisions based on future possible scenarios. This title provides an in-depth analysis of attrition modelling relevant to business planning and management.