Earticle

초록

영어

Customer behavior pattern discovery is the fundament for conducting customer oriented services and the services management. But, the composition, need, interest and experience of customers may be continuously changing, thereof lead to the difficulty in refining a stable description of their consistent behavior pattern. This paper presented a new method for the behavior pattern discovery from a changing collection of customers. It was originally inspired from the swarm intelligence of ant colony. By the adaptive clustering, some typical behavior patterns which reflect the characteristics of related customer clusters can extracted dynamically and adaptively.

목차

Abstract
 1. Introduction
 2. Clustering Algorithm based on Swarm Intelligence
  2.1 Clustering Behavior by Ant Colony
  2.2 Mathematical Model
 3. behavior pattern Discovery of online shoppers
  3.1 Analysis Method
  3.2 Test and Results
  3.2 T est and Results
  3.3 Conclusion and Expectation
 References

키워드

저자

• Weihui Dai [ School of Management, Fudan University. ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  JITAM [Journal of Information Technology Applications and Management]

• 간기

  격월간

• pISSN

  1598-6284

• eISSN

  2508-1209

• 수록기간

  1999~2026

• 십진분류

  KDC 005 DDC 005