Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: A Review on Customer Churn Prediction in Telecommunication Using Data Mining Techniques
Analysis of Customer Churn in Mobile Industry using Data Mining
Churn Prediction: Does Technology Matter?
A novel cost-sensitive framework for customer churn predictive modeling
Intelligent churn prediction in telecom: employing mRMR feature selection and RotBoost based ensemble classification
Prediction of subscriber churn using social network analysis
An effective hybrid learning system for telecommunication churn prediction
churn models for prepaid customers in the cellular telecommunication industry using large data marts .
Customer Churn in Mobile Markets A Comparison of Techniques
A Customer Churn Analysis Model in E-business Environment
Customer churn analysis : A case study on the telecommunication industry of Thailand
Churn analysis using deep convolutional neural networks and autoencoders
Customer Churn Prediction Based on SVM-RFE
Variable selection by association rules for customer churn prediction of multimedia on demand
A Novel Evolutionary Data Mining Algorithm With Applications to Churn Prediction
An SVM based churn detector in prepaid mobile telephony
Games and Big Data: A Scalable Multi-Dimensional Churn Prediction Model
Customer churn prediction using improved FCM algorithm
Application of Feature Extraction Method in Customer Churn Prediction Based on Random Forest and Transduction
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
Chancroid, lymphogranuloma venereum, granuloma inguinale, genital herpes simplex infection, and molluscum contagiosum.
Convolutional Matrix Factorization for Document Context-Aware Recommendation
A Case Study on Attribute Recognition of Heated Metal Mark Image Using Deep Convolutional Neural Networks
Group-sparse subspace clustering with missing data
Modeling Data Mining Applications for Prediction of Prepaid Churn in Telecommunication Services