Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Customer churn prediction in telecommunications
Computer assisted customer churn management: State-of-the-art and future trends
Customer Churn Prediction Based on SVM-RFE
Customer churn prediction using improved balanced random forests
Credit card churn forecasting by logistic regression and decision tree
Customer event history for churn prediction: How long is long enough?
Churn analysis of online social network users using data mining techniques
Predicting churn in mobile free-to-play games
Evaluation of machine learning models for employee churn prediction
Variable selection by association rules for customer churn prediction of multimedia on demand
A Comparative Study of Employee Churn Prediction Model
Application of Feature Extraction Method in Customer Churn Prediction Based on Random Forest and Transduction
The customer lifetime value prediction in mobile telecommunications
Games and Big Data: A Scalable Multi-Dimensional Churn Prediction Model
Predicting Subscriber Dissatisfaction and Improving Retention in the Wireless Telecommunications Industry
A Neuro-Fuzzy Classifier for Customer Churn Prediction
Bank Customer Churn Prediction Based on Support Vector Machine: Taking a Commercial Bank's VIP Customer Churn as the Example
An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction
Churn detection and prediction in automotive supply industry
Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry
Feature-selection-based dynamic transfer ensemble model for customer churn prediction
Understanding Convolution for Semantic Segmentation
Nano-sized transition-metal oxides as negative-electrode materials for lithium-ion batteries
Microsoft Academic (Search): a Phoenix arisen from the ashes?
The UN Decade of Nutrition, the NOVA food classification and the trouble with ultra-processing
Segmentation of stock trading customers according to potential value