Mining Customer Change Model Based on Swarm Intelligence

  • Authors:
  • Peng Jin;Yunlong Zhu

  • Affiliations:
  • Shenyang Institute of Automation of the Chinese Academy of Sciences, Shenyang, 110016, China and Graduate School of the Chinese Academy of Sciences, Beijing, 100039, China;Shenyang Institute of Automation of the Chinese Academy of Sciences, Shenyang, 110016, China

  • Venue:
  • ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
  • Year:
  • 2009

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Abstract

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.