摘要
信息技术的迅速发展以及数据库技术的日新月异,大量的信息成为当代的一个特点.保健药品企业存储了海量的交易数据,通常,面对这样的数据,人们往往无所适从,数据挖掘的方法向我们提供了对海量数据进行加工和处理的工具,基于企业交易海量数据,建立商品层面关联分析模型,并分别对订购商不加时间区分的进行商品关联分析、按月合并订购商订单后进行商品关联分析,此外,还进一步地进行了商品的序列关联分析.
With the rapid development of information technology and the advancement of database technology,a lot of information has become a feature of the modern world.There is vast amounts of data of transactions in Health care Pharmaceutical companies.Usually,in the face of such data,people do not no how to do with it,we tends to be at a loss.The method of Data mining provides us with a tool to deal with such massive data.With it,we can carryout processing and treatment of bid data.Based on the mass data getting from a Health care Pharmaceutical company in XinJiang,this article tries to build a model to analyze the association between different health care products.Firstly,association analysis of the health care products without time-difference is carried out.Then,we take association analysis of the health care products by subscription of month.In addition,we add series association analysis of the health care products.
作者
阿不力克木·买买提明
金朋
赵红
ABULIKEMU Maimaitiming;JIN Peng;ZHAO Hong(School of Economics and Management,University of Chinese Academy of Sciences,Beijing 100190,China;Southwestern University of Finance and Economics,Chengdu 611130,China)
出处
《数学的实践与认识》
北大核心
2019年第20期1-11,共11页
Mathematics in Practice and Theory
