Title :
Research and application of clustering algorithm on rural channel classification management by China mobile company
Author_Institution :
Dept. of Inf. Manage., Jimei Univ., Xiamen, China
Abstract :
In possession of great customer-data, Mobile Enterprise must transform data advantage into competitive advantage, which is not only to maximize income, but also to enhance the management system of channel. In this paper, I applied the theory of cluster analysis to discuss the use of the cluster analysis technology in the mobile market segmentation field, and by integrating the basic-data I utilized the mobile improvement K-means to set up a channel subsection model in rural areas in order to divide the rural mobile market effectively.
Keywords :
marketing data processing; pattern classification; pattern clustering; China mobile company; channel management system; channel subsection model; cluster analysis technology; cluster analysis theory; clustering algorithm; mobile enterprise; mobile market segmentation field; rural channel classification management; rural mobile market; Application software; Clustering algorithms; Companies; Computer science; Computer science education; Conference management; Data mining; Marketing and sales; Marketing management; Mobile computing; Clustering Algorithm; K-means; Mobile providers; Rural Channels;
Conference_Titel :
Computer Science & Education, 2009. ICCSE '09. 4th International Conference on
Conference_Location :
Nanning
Print_ISBN :
978-1-4244-3520-3
Electronic_ISBN :
978-1-4244-3521-0
DOI :
10.1109/ICCSE.2009.5228380