The nature of statistical learning theory
The nature of statistical learning theory
Least Squares Support Vector Machine Classifiers
Neural Processing Letters
Credit Scoring and Its Applications
Credit Scoring and Its Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates
Computers and Operations Research
An Integrated Data Preparation Scheme for Neural Network Data Analysis
IEEE Transactions on Knowledge and Data Engineering
Engineering multiversion neural-net systems
Neural Computation
A novel support vector machine metamodel for business risk identification
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Credit risk analysis using a reliability-based neural network ensemble model
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
Credit risk evaluation with least square support vector machine
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
A bias-variance-complexity trade-off framework for complex system modeling
ICCSA'06 Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I
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In this study, we propose an intelligent customer relationship management (CRM) system that uses support vector machine (SVM) ensembles to help enterprise managers effectively manage customer relationship from a risk avoidance perspective. Different from the classical CRM for retaining and targeting profitable customers, the main focus of our proposed CRM system is to identify high-risk customers for avoiding potential loss. Through experiment analysis, we find that the Bayesian-based SVM ensemble data mining model with diverse components and "choose from space" selection strategy show the best performance over the testing samples.