Title :
Research on Classification and Subdivision Model of Telecom Rural Channel Based on Clustering Analysis
Author :
Yuan, Wang ; Yihua, Zhang
Author_Institution :
Dept. of Inf. Manage., Jimei Univ., Xiamen, China
Abstract :
Rapid advances in data collection and storage technology have enabled telecom company to accumulate vast amounts of data. However, extracting useful information has proven extremely challenging. Telecom enterprises are holding massive customers´ data and should convert it to competitive advantage in order to maximize customers´ profitability. Based on CRISP-DM (cross-industry standard process for data mining) methodology, this paper discusses the application of clustering analysis in telecom rural channel classification and subdivision model, combining with telecom industry basic data and Clementine data mining tool, this thesis establishes model of rural channel classification and subdivision, and classify telecom carriers in grade efficiently.
Keywords :
customer profiles; data mining; profitability; service industries; telecommunication channels; CRISP-DM; Clementine data mining tool; clustering analysis; cross-industry standard process; customer data; customer profitability; data collection; data storage; subdivision model; telecom enterprises; telecom industry basic data; telecom rural channel classification; Cities and towns; Communication industry; Companies; Data analysis; Data mining; Educational institutions; Information analysis; Information management; Mining industry; Telecommunications; CRISP-DM; cluster analysis; data mining; telecom;
Conference_Titel :
Information Management, Innovation Management and Industrial Engineering, 2009 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-0-7695-3876-1
DOI :
10.1109/ICIII.2009.438
