Title :
Research on customer clustering analysis based on E Supply Chain
Author :
Zhaojun, Ji ; Ying, Gao
Author_Institution :
Depts. of Econ. Manage., Shandong Water Vocational Coll., Rizhao, China
Abstract :
Firstly, the paper analyzes E Supply Chain and NN(neural network) SOFM, then the paper discusses the structure and function, verifies the improved SOFM model in practical instance. Finally, according to the results of clustering analysis, characteristics of customer group and importance of customers, the paper put forward the corresponding business strategy.
Keywords :
customer services; neural nets; pattern clustering; supply chain management; E supply chain; NN; SOFM model; business strategy; customer clustering analysis; customer group; customer importance; neural network; Artificial neural networks; Biology; Educational institutions; Publishing; Supply chains; Business Strategy; Clustering Analysis; NN; Supply chain;
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
DOI :
10.1109/AIMSEC.2011.6011326
