浅谈大数据时代的关联规则研究

Introduction to the Association Rules of the Era of Large Data

随着信息技术和通信网络的快速发展,大数据时代的到来使得数据在"量""类""时"三方面都呈现爆炸式增长。数据挖掘旨在提取海量数据中存在特殊关系的信息,该过程可由一定的算法实现自动化检索并分析。就"数据海量、信息缺乏"这一众多企业在信息时代都面临的尴尬问题,本文通过举例关联规则的挖掘方法,论述了数据挖掘的处理过程以及数据挖掘的未来发展。

With the rapid advancement of information technology and Internet communications, the advent of the era of big data has made the data explode in three aspects ,"quantity" "class" "time". Data mining generally refers to the process that automatically search the hidden data that has a special relationship with each other from a large number of data. As far as the concern of the embarrassing questions, "massive amounts of data, lack of information",which many enterprises are facing in the information age, this paper discusses the process of data mining and the future development of data mining based on the example of association rule mining method.