Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Machine learning techniques applied to prepaid subscribers: Case study on the telecom industry of Morocco
Predicting Customer Churn in Mobile Telephony Industry Using Probabilistic Classifiers in Data Mining
Telco User Activity Level Prediction with Massive Mobile Broadband Data
Machine Learning Based Session Drop Prediction in LTE Networks and Its SON Aspects
Big Data Analytics in Mobile Cellular Networks
An Overview on Application of Machine Learning Techniques in Optical Networks
Prediction of subscriber churn using social network analysis
Extending Traditional Telecom Churn Prediction Using Social Network Data
Predicting the location of mobile users: a machine learning approach
A Survey on Customer Churn Prediction using Machine Learning Techniques
An experimental study on four models of customer churn prediction
Evaluating socio-economic state of a country analyzing airtime credit and mobile phone datasets
Novel Techniques for Fraud Detection in Mobile Telecommunication Networks
Predicting credit card customer churn in banks using data mining
Social network classifier for churn prediction in telecom data
A Very Brief Introduction to Machine Learning With Applications to Communication Systems
Thirty Years of Machine Learning:The Road to Pareto-Optimal Next-Generation Wireless Networks
Characterizing data usage patterns in a large cellular network
Hidden Markov models for churn prediction
Big data and machine learning driven handover management and forecasting
Forecasting Market Demand for New Telecommunications Services: An Introduction
A Probabilistic Framework for Real-time 3D Segmentation using Spatial, Temporal, and Semantic Cues.
Oncogene-induced senescence is a DNA damage response triggered by DNA hyper-replication
High speed locomotion for a quadrupedal microrobot
A Question Answering System for Reading Comprehension Tests
Computer assisted customer churn management: State-of-the-art and future trends