摘要
近年来,数据挖掘技术在市场分析预测、客户分析预测方面得到了广泛的应用。结合服装行业协同产品商务(CPC)平台,在服装企业历史数据的基础上,利用数据挖掘技术对服装的需求进行了有效的分析。在这一思路的指导下开发了服装CPC在线决策支持系统。
Abstract In recent years, data mining has found wide application in market and client analysis and forecast. Combined with the collaborative product commerce (CPC) platform of the garment sector, the demand on apparel are effectively analyzed using data mining technology based on the historical data of the garment enterprise. Under this guidance, the on-line decision support system based on CPC for garment trade is developed.
出处
《纺织学报》
EI
CAS
CSCD
北大核心
2006年第3期52-55,共4页
Journal of Textile Research
基金
国家自然科学基金资助项目(70275056
50475036)
国家高技术863项目(2002AA414510)
关键词
数据挖掘
服装需求
决策支持
协同产品商务
data mining
demand on garment
decision support system
collaborative product commerce