Understanding and adapting to changes of customer behavior is an important aspect of surviving in a continuously changing market environment for a modern company. The concept of customer change model mining is introduced and its process is analyzed in this paper. A customer change model mining method based on swarm intelligence is presented, and the strategies of pheromone updating and items searching are given. Finally, an examination on two customer datasets of a telecom company illuminates that this method can achieve customer change model efficiently. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Jin, P., & Zhu, Y. (2007). Mining customer change model based on swarm intelligence. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4682 LNAI, pp. 456–464). Springer Verlag. https://doi.org/10.1007/978-3-540-74205-0_50
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