Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Games and Big Data: A Scalable Multi-Dimensional Churn Prediction Model
Hidden Markov models for churn prediction
The Architecture of a Churn Prediction System Based on Stream Mining.
Telecommunication subscribers' churn prediction model using machine learning
Improved credit card churn prediction based on rough clustering and supervised learning techniques
Attribute selection and Customer Churn Prediction in telecom industry
Social network classifier for churn prediction in telecom data
Customer churn prediction using a hybrid genetic programming approach
Improved churn prediction in telecommunication industry using data mining techniques
Churn Prediction: Does Technology Matter?
A Big Data Clustering Algorithm for Mitigating the Risk of Customer Churn
Analysis of Customer Churn prediction in Logistic Industry using Machine Learning
Intelligent churn prediction for telecom using GP-AdaBoost learning and PSO undersampling
Customers Churn Prediction and Attribute Selection in Telecom Industry Using Kernelized Extreme Learning Machine and Bat Algorithms
Employee Churn Prediction Model using C 4 . 5 Classification Algorithm
A review and analysis of churn prediction methods for customer retention in telecom industries
Prediction of subscriber churn using social network analysis
Computer assisted customer churn management: State-of-the-art and future trends
Churn analysis of online social network users using data mining techniques
The Impact of Experimental Setup in Prepaid Churn Prediction for Mobile Telecommunications : What to Predict , for Whom and Does the Customer Experience Matter ?
churn models for prepaid customers in the cellular telecommunication industry using large data marts .
HideM: Protecting the Contents of Userspace Memory in the Face of Disclosure Vulnerabilities
Action capture with accelerometers
Nonce Generation For The Digital Signature Standard
Statistical learning theory
Patients' Experience After a Fall and Their Perceptions of Fall Prevention: A Qualitative Study