Title :
PCA-SVM-Based Comprehensive Evaluation for Customer Relationship Management System of Power Supply Enterprise
Author :
Sun, Wei ; Li, Shan
Author_Institution :
North China Electr. Power Univ., Baoding
Abstract :
In view of a customer relationship management system in the practical application of the power supply enterprises , this paper design a comprehensive evaluation indicator system. Adopting principal component analysis method to simplify the indicator system. A evaluation model of customer relationship management system based on support vector machine was presented. Using the idea of decision binary tree, then makes the cut date to be the input information of classifier, and establish multi-classification model. The simulation result shows that the model has better accuracy of the classification.
Keywords :
customer relationship management; decision trees; electricity supply industry; pattern classification; principal component analysis; support vector machines; comprehensive evaluation indicator system; customer relationship management system; decision binary tree; multiclassification model; power supply enterprise; principal component analysis; support vector machines; Customer relationship management; Cybernetics; Environmental management; Machine learning; Marketing and sales; Power supplies; Power system modeling; Principal component analysis; Support vector machine classification; Support vector machines; Customer relationship management; Principal component analysis; Support vector machine;
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
DOI :
10.1109/ICMLC.2007.4370810
