期刊文献+

数据挖掘在服装企业决策支持中的应用 被引量:2

Data Mining Technology and Its Application in Decision Supporting of the Garment Industry
下载PDF
导出
摘要 从数据挖掘的定义及特点、数据挖掘的步骤以及数据挖掘技术的分类三个方面对数据挖掘技术做了阐述,结合服装行业特点对数据挖掘在服装企业计划决策中应用进行了探讨。 As a new developing field, data mining technology has been applied in many fields. Data mining technology including the basic concept and characteristics, the steps of data mining and the classification of data mining technology is briefly introduced. Its application in the decision supporting of the garment industry is also discussed through characteristic of apparel company.
出处 《浙江工程学院学报》 2004年第4期293-296,共4页 Journal of Zhejiang Institute of Science and Technology
基金 国家自然科学基金项目(70272056) 国家高技术863项目(2002AA414510)
关键词 服装企业 服装行业 决策支持 数据挖掘技术 计划 步骤 定义 Data mining Decision supporting Demand analysis
  • 相关文献

参考文献2

二级参考文献7

  • 1[1]G. Piatetsky-Shapiro, Knowledge Discovery in Databases, AAAI/MIT Press,1991.
  • 2[2]Jiawei Han,Micheline Kambr. Data Mining-Concepts and Techniques,Morgan Kaufmann Pulishers,2000.
  • 3[3]Alex Berson, Stephen J. Smith. Data Warehousing,Data Mining,&OLAP,McGraw-Hill Book Co, 1999
  • 4[4]JRQuinlan. Learning with continuous classes, In Procedings AI'92(Adams Sterling, Eds),343-348,Singapore: World Scientific,1992
  • 5[5]Quinlan, J. R.. C4.5: Programs for Machine Learning, 1993
  • 6[6]C. Apte and SM Weiss. Data mining with decision trees and decision rules, Future Generation Computer Systems November 1997:197-210.
  • 7[美]大卫 M 安德森 等.21世纪企业竞争前沿:大规模定制模式下的敏捷产品开发[M].北京:机械工业出版社,2000..

共引文献16

同被引文献19

引证文献2

二级引证文献2

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