Profit driven data mining in massive customer networks: new insights and algorithms

Customer churn prediction models aim to detect customers with a high propensity to attrite. Both the predictive power, the comprehensibility, and the justifiability are key aspects of these models. An accurate model permits to correctly target future churners in customer retention campaigns, while a comprehensible and intuitive rule set allows to identify the main drivers for customers to churn and to develop an effective retention strategy in accordance with domain knowledge. This chapter provides an extended overview of the literature on the use of data mining for customer churn pre-