摘要
随着人们利用互联网频率的不断增加,互联网数据产生量也不断增多,数据挖掘技术在服装行业中的应用也逐渐成熟。通过综述国内外数据挖掘与服装相关文献,了解数据挖掘的基本信息与基本流程,分析大数据与服装行业相结合的成功案例,探讨了数据挖掘在服装生产、销售管理、客户关系及库存管理4个方面的应用。未来服装行业应该更加充分利用互联网大数据,将数据挖掘技术与其紧密结合,为后续服装行业更好运用数据挖掘技术提供依据,以提高企业的经济效益。
With the increasing frequency of people using the Internet,the amount of Internet data was increasing,the application of data mining technology in the clothing industry was gradually mature.Through summarizing related literature of data mining and garment at home and abroad,the basic information and process of data mining were understood,and the successful cases of combining big data with garment industry were analyzed.The application of data mining in garment production,sales management,customer relationship and inventory management was explored.In the future,the garment industry should make full use of the big data of the Internet and combine the data mining technology with it closely,so as to provide basis for the follow-up garment industry to better use the data mining technology and improve the economic benefits of enterprises.
作者
邵芬娟
侯真威
SHAO Fen-juan;HOU Zhen-wei(Department of Printing and Packaging Engincering,Shanghai Publishing and Printing College,Shanghai 200093,China;College of Fashion and Design,Donghua University,Shanghai 200051,China)
出处
《纺织科技进展》
CAS
2021年第2期1-5,共5页
Progress in Textile Science & Technology
基金
新闻出版总署“柔版印刷绿色制版与标准化实验室”招标课题(LGPSFP-02)。
