Journal of Korean Society of Industrial and Systems Engineering (산업경영시스템학회지)

Society of Korea Industrial and System Engineering (한국산업경영시스템학회)
권호 표지

Integrated System of On-Off Line in Agricultural Products Electronic Commerce Based on Data Mining

데이터 마이닝을 이용한 농산물 전자상거래의 온 오프라인 통합시스템

  • Published : 2002.06.01
Download PDF
⟨ Previous Next ⟩

Abstract

The Internet, as a commercial tool, presented a new market that connects producers with consumers through the E-commerce. Now, E-commerce spreads over almost all industries through the Internet excluding some. This research indicates the reason why the E-commerce is not activated in agricultural Industry, which is less developed than other industries. And it suggests a good example of E-commerce on the agricultural products combining on and off line markets. In addition, data-mining technique is suggested to analyze whole information in system.

Keywords

References

  1. 김태현, '데이터마이닝을 이용한 농산물전자상거래에서의 공급자 및 고객 관계관리에 관한 연구', 석사학위논문, KAIST, 2001
  2. 이용효, 류광택, 김민수, 전현철, 윤기봉, 정보화를 통한 농산물유통업무 개선방안, 한국전산원, 1998
  3. Secretariat for Electronic Commerce, U.S. Department of Commerce., The Emerging Digital Economy, .1999
  4. Michael J. A. Berry, Gordon Lindoff, 'Data Mining Techniques For Marketing, sales, and Customer Support', John Wiley & Sons, Inc., 1997
  5. Peter C., Pablo H., Rolf S., Jaap V., Alessandro Z., 'Discovering Data Mining From Concept To Implementation', Prentice Hall PTR, 1998
  6. R. Cooley, B. Mobasher, and J. Srivastava, 'Web Mining : Information and Pattern Discovery on the World Wide Web', Proc. of the 9th IEEE International Conference, pp. 558-567, 1997
  7. Rigoll G.,'Mutual information neural networks for dynamic pattern recognition tasks', Proceedings of the IEEE international Symposium on Industrial Electronics, pp. 80-85, 1996
  8. Kandel A., Yan-Qing Zhang, BunkeH., 'A genetic fuzzy neural network for pattern recognition', Proceedings of the Sixth IEEE International Conference on Fuzzy Systems, pp.75-78,1997