期刊文献+

数据挖掘在现代农业物流管理决策中的应用研究 被引量:6

Application of Data Mining Technology in Modern Agricultural Logistics Management Decision
在线阅读 下载PDF
导出
摘要 现代农业物流的信息化、网络化和智能化发展为数据挖掘技术的应用提出了要求.分析了数据挖掘用于现代农业物流管理的重要意义,以数据仓库技术、数据挖掘技术为重点,分析了数据挖掘在现代农业物流管理决策中的挖掘过程及实现技术,指出了数据挖掘技术将为现代农业物流管理决策提供越来越强大的支持功能. The modem agricultural logistics information-based networking and intelligent development demands data mining technology application. This paper introduces the significance of data mining in modem agricultural logistics and analyses the processes in data mining and the key technology regarding data warehouse and data mining technology as emphasis. In addition, it pointed out that the data mining technology is becoming more and more powerful in the decision of modem agricultural logistics management.
出处 《沈阳师范大学学报(自然科学版)》 CAS 2008年第3期310-313,共4页 Journal of Shenyang Normal University:Natural Science Edition
基金 辽宁省教育厅"十一五"教育科学规划课题(高教58-28)
关键词 数据挖掘 现代农业物流 数据仓库 data mining modem agricultural logistics data warehouse
  • 相关文献

参考文献8

二级参考文献31

  • 1别文群,钟其.基于数据挖掘的物流信息系统的分析和设计[J].物流技术,2005,24(6):83-84. 被引量:7
  • 2李其芳.数据挖掘技术在物流信息系统中的应用[J].商品储运与养护,2006,28(1):17-19. 被引量:4
  • 3宋金生,朱杰,刘军.仓储与配送作业智能决策系统研究[J].物流技术,2006,25(3):106-108. 被引量:3
  • 4肖刚,姜继铎.物流管理信息系统研究[J].铁道物资科学管理,2006,24(2):27-29. 被引量:4
  • 5王珊.数据仓库技术和联机分析处理[M].科学出版社,1999..
  • 6Calvo, Alberto B.; Danish, Alexander J.; Lamonakis, Gregory G. DISPLA over-bar - Decision Information System for Procurement and Logistics Analysis. Proceedings of SPIE - The International Society for Optical Engineering, v 4712, 2002, p81-92.
  • 7Taylor, Danin; Morrison, John; Katz, Warren; Felton, Erik;Herman, Deborah A. New logistics protocols for distributed interactive simulation. Proceedings of SPIE - The International Society for Optical Engineering, v 2495, 1995, p51-61.
  • 8McCormick, Jack E; Nussman, Philip G. Logistics support analysis on the palletized load system (PLS). 1993 IEEE National Aerospace and Electronics Conference, 1993, p960-964.
  • 9Soibelman, Lucio; Caldas, Carlos. Information logistics for construction design team collaboration. Computing in Civil and Building Engincering, v 1, 2000, p341-348.
  • 10Rygielski, Chris; Wang, Jyun-Cheng; Yen, David C. Data mining techniques for customer relationship management. Technology in Society, v 24, n 4, November, 2002, p483-502.

共引文献36

同被引文献42

引证文献6

二级引证文献68

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部