基于数据挖掘的电商中贵州茶叶产品分类分析

Classified Analysis of Tea Products of Guizhou in Electric Business Based on Data Mining

通过分析电商平台(天猫和淘宝网)上贵州茶叶产品信息特征,利用分类算法,对目前贵州茶叶产品进行分类算法运行比较,发现目前贵州电商的部分茶叶产品分类不太准确,属性特征描述不完全、不规范、不科学的原因是查准率和召回率都不高。

Through analyzing the information features of tea products of Guizhou in electric business （Tmall and Taobao） and using the WEKA sorting algorithm, this paper makes a comparison among different kinds of tea products of Guizhou and finds out the reason why precision ratio and recall ratio are low is that partial classification of tea products is not precise and the attribute property is not complete, irregular and unscientific.