JICCE (한국정보통신학회)
Current Result Document :
| 한글제목(Korean Title) |
Hybrid Case-based Reasoning and Genetic Algorithms Approach for Customer Classification |
| 영문제목(English Title) |
Hybrid Case-based Reasoning and Genetic Algorithms Approach for Customer Classification |
| 저자(Author) |
Kyoung-jae Kim
Hyunchul Ahn
|
| 원문수록처(Citation) |
VOL 03 NO. 04 PP. 0209 ~ 0212 (2005. 12) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
This study proposes hybrid case-based reasoning and genetic algorithms model for customer classification. In this study, vertical and horizontal dimensions of the research data are reduced through integrated feature and instance selection process using genetic algorithms. We applied the proposed model to customer classification model which utilizes customers' demographic characteristics as inputs to predict their buying behavior for the specific product. Experimental results show that the proposed model may improve the classification accuracy and outperform various optimization models of typical CBR system. |
| 키워드(Keyword) |
Case-based reasoning
genetic algorithms
feature selection
instance selection
customer classification
|
| 파일첨부 |
PDF 다운로드
|
