基于CURE算法和C4.5决策树的服装销售预测模型  

Costume sales forecasting model based on CURE algorithm and C4.5 decision tree

作　　者：王莹[1] 李仁旺[1] 李斌[1] 张志乐[1] 

机构地区：[1]浙江理工大学,浙江杭州310018

出　　处：《纺织学报》2008年第9期133-136,共4页Journal of Textile Research

基　　金：国家自然科学基金资助项目(50675208);浙江省自然科学基金资助项目(Y605187)

摘　　要：针对服装销售中销售预测模型不能对复杂多变的市场以及分销商的需求作出及时响应的现状,提出一种基于CURE算法和C4.5决策树相结合的方法来建立服装销售预测模型,其中CURE算法从销售前景考虑把相似的项进行聚类,C4.5决策树则将这些聚类和选取的描述标准联系起来。通过对568项历史销售数据和326项新数据进行测试,分析模型的执行效率。最后,针对预测模型中出现的分类错误,提出了进一步改进的方法。Considering the fact that the present sales forecasting model can′t respond to the versatile and changing market and the needs of distributors in time,an appropriate CURE algorithm and C4.5 decision tree method is adopted to establish a new costume sales forecasting model.The CURE algorithm carries out grouping of similar items in terms of sales prospect,and the C4.5 decision tree finds understandable links between these clusters and selected descriptive criteria.Based on the test of 568 historical sales data and 326 new data,the performance efficiency of forecasting model is analyzed.Finally,aiming at the classification error of forecasting model,a further improvement method is given.

关 键 词：CURE算法 C4.5决策树 服装销售 预测模型 

分 类 号：F768.3[经济管理—产业经济]