文章基本信息

标题：Study on Retail Price Classification of Food Based on Data Mining Technology
本地全文：下载
作者：Han Tian-Peng ; Bai Ling-Ling ; Wang Dai-Mu 等
期刊名称：Advance Journal of Food Science and Technology
印刷版ISSN：2042-4868
电子版ISSN：2042-4876
出版年度：2016
卷号：11
期号：6
页码：439-443
DOI：10.19026/ajfst.11.2657
出版社：MAXWELL Science Publication
摘要：In order to carry out classification of food retail price correctly, the data mining technology is applied in it. Firstly, the real situation of Chinese food retail price is analyzed. Secondly, the basic theory of data mining is studied in depth. Thirdly, the corresponding algorithm procedure is design. Finally, Chinese food retail price fluctuating and classification rules are obtained based on data mining technology, results show that the food can be divided into six classification, the data mining technology is an effective means for analyzing the food retail price classification.