DocumentCode :
2928857
Title :
Behavior-Based Telecom Tariff Service Design with Neural Network Approach
Author :
Zhang, Yongbin ; Liang, Ronghua ; Li, Yeli
Author_Institution :
Inf. & Mech. Eng. Dept., Beijing Inst. of Graphic Commun., Beijing, China
fYear :
2011
fDate :
25-28 March 2011
Firstpage :
1
Lastpage :
4
Abstract :
This paper presents a behavior-based telecommunication tariff service design model. Unlike traditional service design models, which includes demographic attributes to design telecommunication tariff services, this model only uses history data about telecommunication customer behavior, such as voice service usage, text service usage, and multimedia service usage to design new tariff services. An unsupervised algorithm, the self-Organizing Map neural network algorithm, is adopted to train the model. The model segments telecommunication customers into different groups only according to their behavior, service usage. The characteristics of customer service usage can be identified with the results. With the generated behavior-based groups and demographic attributes of customers as training data set, decision tree algorithm is adopted to reveal the characteristics of potential customers for the new designed tariff services.
Keywords :
consumer behaviour; customer services; decision trees; self-organising feature maps; tariffs; telecommunication computing; telecommunication services; behavior-based telecom tariff service design; decision tree; demographic attribute; selforganizing map neural network; telecommunication customer behavior; unsupervised algorithm; Algorithm design and analysis; Clustering algorithms; Data models; Decision trees; Multimedia communication; Telecommunication services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Conference_Location :
Wuhan
ISSN :
2157-4839
Print_ISBN :
978-1-4244-6253-7
Type :
conf
DOI :
10.1109/APPEEC.2011.5748487
Filename :
5748487
Link To Document :
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