摘要
随着大数据时代的到来,数据挖掘技术成为了信息界的主要关注方向,但从大量数据中提取有价值的内容成为了难题。随着数据量的逐渐增加,以往的数据挖掘方法已不再适应当前大数据环境下的大数据挖掘。基于此,不断研究和改进Apriori算法的主要目的是使其能适应当前环境下的数据挖掘、存储和计算,使繁琐的数据挖掘过程变得简单明了,提高挖掘效率。
With the arrival of the era of big data,data mining technology has become the main focus of the information community,but extracting valuable content from large amounts of data has become a difficult problem.With the gradual increase of data volume,the previous data mining methods are no longer suitable for large data mining in the current large data environment.Based on this,the main purpose of continuous research and improvement of Apriori algorithm is to make it adapt to the current environment of data mining,storage and calculation,so that the cumbersome data mining process becomes simple and clear,and improve the mining efficiency.
作者
王晓辉
周雪芳
刘国新
Wang Xiaohui;Zhou Xuefang;Liu Guoxin(Qingdao Huanghai University,Qingdao Shandong 266427,China)
出处
《信息与电脑》
2019年第5期71-72,共2页
Information & Computer