Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Credit Card Customer Segmentation and Target Marketing Based on Data Mining
Mining the customer credit using classification and regression tree and multivariate adaptive regression splines
Applying Data Mining to Telecom Churn Management.
Clustering algorithms for bank customer segmentation
Consumer Behavior Information Big Data Mining
6 Data Mining Using RFM Analysis
Customer Segmentation and Customer Profiling for a Mobile Telecommunications Company Based on Usage Behavior
Data Mining Framework for Direct Marketing: A Case Study of Bank Marketing
Improved credit card churn prediction based on rough clustering and supervised learning techniques
Credit card churn forecasting by logistic regression and decision tree
Customer Satisfaction Cues To Support Market Segmentation and Explain Switching Behavior
Review of Data Mining Techniques for Churn Prediction in Telecom
A Two Phase Clustering Method for Intelligent Customer Segmentation
ATM Service Analysis Using Predictive Data Mining
Optimizing the prediction of telemarketing target calls by a classification technique
Data mining strategies and techniques for CRM systems
Detecting credit card fraud by Modified Fisher Discriminant Analysis
Targeted advertising using behavioural data and social data mining
Prediction analysis of risky credit using Data mining classification models
Identifying high-cost patients using data mining techniques and a small set of non-trivial attributes
Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process
Neuro-Fuzzy and Soft Computing-A Computational Approach to Learning and Machine Intelligence [Book Review]
Forecasting with artificial neural networks : The state of the art *
The Processing Using Memory Paradigm:In-DRAM Bulk Copy, Initialization, Bitwise AND and OR
Edge detection in medical images with quasi high-pass filter based on local statistics
Step Detection Robust against the Dynamics of Smartphones