Market Forcast Model of New Product in Fashion Industry
Facing the increasingly pressure of industry and the competition in the market, and according to the unique characteristics of apparel industry, this thesis puts forward a kind of apparel market step models that based on the forecast sales. The test model has three steps: (1) using the CURE Algorithm of data mining to cluster stores and gain the centre store;(2)choosing test stores;(3)forecasting sales. Finally, compares our models with the existing methods at company on forecast errors and forecast costs by cases, and then educes that the former one is better.
apparel market test CURE algorithm model
Xiaofen Ji Haijing Xie Lihua Wu Wei Chen Chao Ju
College of Fashion, Zhejiang Sic-Tech University, Hangzhou, 310018, China
国际会议
第八届武汉电子商务国际会议(The Eighth Wuhan International Conference on E-Business)
武汉
英文
806-811
2009-05-30（万方平台首次上网日期，不代表论文的发表时间）