원문정보
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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
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
저자정보
참고문헌
자료제공 : 네이버학술정보