Title :
Applying Incremental Ant Colony Clustering to Value-Based Customer Segmentation
Author_Institution :
Inf. Coll., Zhongnan Univ. of Econ. & Law, Wuhan
Abstract :
For a successful company, which is facing fiercely competitive environment with limited customer resource, achieving efficiently customer segmentation so as to apply high quality recommendation strategies is a key task. Ant colony clustering based on customer value is a novel method for efficiently approaching customer segmentation. Additionally, experience shows that customer behavior patterns will change over time, accordingly, customer segments must change also, however, until now, much research on customer has resumed that customer segments are stable, in order to track of customer shifts among segments, this study proposes incremental clustering method. Empirical study demonstrates that this approach can supplies scientific ground for enterprises to check their service strategies and discoveries customer missing in time.
Keywords :
customer services; optimisation; customer resource; incremental ant colony clustering; service strategies; value-based customer segmentation; Chromium; Companies; Costs; Educational institutions; Electronic mail; Fluctuations; Fuzzy neural networks; Genetic algorithms; Logistics; Neural networks;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
DOI :
10.1109/WiCom.2008.2588