Research and Implementation of Multidimensional Customer Behavior Segmentation Model Based on Bayes and Fisher

Guang Hui Wang; Zhong Yan Liu; Shao Bing Zhang

doi:10.4028/www.scientific.net/AMR.945-949.2455

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 945-949Research and Implementation of Multidimensional...

Research and Implementation of Multidimensional Customer Behavior Segmentation Model Based on Bayes and Fisher

Abstract:

an improved algorithm of Bayesian classifier combined with Fisher Linear Discriminant Analysis is proposed. This algorithm is the key to search the projection space of maximum separation. The original samples are projected to maximum separation space and new samples are obtained. These new samples are classifed by Bayes classifier. Experimental results show that improved Bayesian classifier has higher accuracy of classification and better performance of classification in the given data collection.

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Periodical:

Advanced Materials Research (Volumes 945-949)

Pages:

2455-2458

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.945-949.2455

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Online since:

June 2014

Authors:

Guang Hui Wang*, Zhong Yan Liu, Shao Bing Zhang

Keywords:

Bayesian Classifier, Behavior Segmentation, Fisher, Mobile Value-Added Services

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* - Corresponding Author

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