大数据下关联分析的研究与实现

Research and Implementation of Association Analysis under Large Data

互联网技术尤其是移动互联网技术的飞速发展,使得存储和传输的数据数量快速增长,进而大数据技术及其应用日益受到人们重视,如何进行相关数据分析显得尤为重要。关联规则作为数据分析中的一种方法,能挖掘出数据集合之间关联性较强的数据。笔者从数据分析角度出发,将关联规则算法Apriori应用于某生活商场用户购物结算数据的关联分析,对数据分析中的关联规则进行了有效的分析和实现,挖掘出了购物推送所需要的信息,验证了算法的有效性。

Because of the rapid development of Internet technology,especially the mobile Internet technology,the number of data stored and transmitted increases rapidly,and the technology of large data and its applications are attracting more and more attention,so how to analyze the relevant data is particularly important.As a method of data analysis,association rules could mine out data with strong association among data sets.The author starts from the perspective of data analysis,and applies the Apriori algorithm with a living mall user shopping data.Finally the association rules in data analysis are effectively analyzed and implemented,mine out the shopping information data that we need,and the effectiveness of the algor ithm is verified.