Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Applications of Data Mining Techniques in TelecomChurn Prediction
Applying Data Mining to Telecom Churn Management.
Churn Prediction: Does Technology Matter?
Data Mining in Telecommunications
Customer churn prediction using improved FCM algorithm
Customer Churn Prediction Based on SVM-RFE
Improved credit card churn prediction based on rough clustering and supervised learning techniques
Computer assisted customer churn management: State-of-the-art and future trends
Variable selection by association rules for customer churn prediction of multimedia on demand
Predicting service contract churn with decision tree models
A novel cost-sensitive framework for customer churn predictive modeling
Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models
Analysis of Customer Churn prediction in Logistic Industry using Machine Learning
Customer churn analysis : A case study on the telecommunication industry of Thailand
Sequential churn prediction and analysis of cellular network users — A multi-class, multi-label perspective
Customer Churn in Mobile Markets A Comparison of Techniques
Churn prediction analysis using various clustering algorithms in KNIME analytics platform
Bank Customer Churn Prediction Based on Support Vector Machine: Taking a Commercial Bank's VIP Customer Churn as the Example
Modeling churn using customer lifetime value
Subscriber classification within telecom networks utilizing big data technologies and machine learning
Employee Churn Prediction Model using C 4 . 5 Classification Algorithm
Psychological Stress and the Human Immune System: A Meta-Analytic Study of 30 Years of Inquiry.
a lunar l 2 - farside exploration and science mission concept with the orion multi - purpose crew vehicle and a teleoperated lander / rover .
Information security awareness and behavior: a theory-based literature review
Electrowetting droplet microfluidics on a single planar surface
Customer Attrition Analysis for Financial Services Using Proportional Hazard Models