摘要
物联网数据挖掘处理的是海量数据,当前数据挖掘的一个研究热点就是在大规模数据集中快速有效地提取用户所需的信息。对传统Apriori算法做相应的改进,使得检索出全部的频繁项集,只要对事务数据库进行一遍扫描就可以完成,将该Apriori算法进行Map/Reduce化,利用云计算的分布式并行计算的性质,将其应用到基于云计算的物联网数据挖掘,实验验证了改进的Apriori算法的有效性。
The internet of things data mining usually need to process massive amounts of data .Recently, how to find useful in-formation has become the hotspot of data mining in massive data .In the present work, we improve the Apriori algorithm to scan the transaction database only, and to find all frequent itemsets.Furthermore, using cloud computing and distributed parallel computing nature, the Apriori algorithm is Mapped/Reduced, and is applied to the cloud computing and internet of things based on data min-ing.Through the experiment, we verify the effectiveness of the improved Apriori algorithm.
出处
《安庆师范学院学报（自然科学版）》
2014年第2期37-40,共4页
Journal of Anqing Teachers College(Natural Science Edition)
基金
安徽省高校省级自然科学研究重点项目(KJ2014A140)资助
关键词
物联网
云计算
APRIORI算法
数据挖掘
the internet of things
cloud computing
Apriori algorithm
data mining
