本文已被：浏览 1703次 下载 4359次
Received:July 28, 2012 Revised:September 10, 2012
Received:July 28, 2012 Revised:September 10, 2012
中文摘要: 网络团购, 指的是互相不认识的消费者在特定的时间内在同一网站上共同购买同一种商品, 以求得最优价格的一种网络购物方式. 现如今, 作为平台方的团购网站在面对大量报名参加团购的商品, 审核过程中需要介入大量人力, 对经验过于依赖. 利用决策树算法, 对影响团购商品销量水平的变量进行分析, 生成可读的决策树, 用以辅助决策, 筛选出优质的商品.
Abstract:Group purchase is a shopping mode that customers buying goods which been selling at a discount in a limited period of time and specific website. Nowadays, facing the large number of application of commodity. Group purchase website as a Platform, which has to intervene a lot of manpower for product review. Also may excessively dependent on the former experience. This paper intends to use the decision tree algorithm to analyse the sales volume of the group purchase goods. Generate readable decision tree to make a strategic decision and select the high quality goods.
keywords: group purchase data mining decision tree C4.5 forecast
文章编号： 中图分类号： 文献标志码：
基金项目:国家自然科学基金(71071142)
引用文本：
费斐,叶枫.决策树算法在团购商品销售预测中的应用.计算机系统应用,2013,22(2):133-137
FEI Fei,YE Feng.Application of Sales Volume Forecast of Group Purchase Based on Decision Tree Method.COMPUTER SYSTEMS APPLICATIONS,2013,22(2):133-137
费斐,叶枫.决策树算法在团购商品销售预测中的应用.计算机系统应用,2013,22(2):133-137
FEI Fei,YE Feng.Application of Sales Volume Forecast of Group Purchase Based on Decision Tree Method.COMPUTER SYSTEMS APPLICATIONS,2013,22(2):133-137
