微型电脑应用2012，Vol.28Issue(6)：10-13,4.
基于云计算的物联网数据挖掘
The Internet of things Data Mining Based On Cloud Computing
摘要
Abstract
The internet of things is a huge and widely distributed the Internet that things connect things,from thatjts massive data is usually time and space related dynamic,heterogeneous,distribution and very complex,These data mining is very difficult,and cost a lot of time and memory,the efficiency is also low. In order to solve these problems,this paper proposes a internet of things data mining system based on cloud computing. Put these massive data into PML data file and store in HDFS. At the same time,mining task allot to many sets of node server parallel processing. The system uses the Hadoop platform,put the association rules algorithm of Apriori into Map/Reduce,improve the efficiency of the data mining. In addition,the strategy will be calculated to copy stored migration,The failure of the calculation of the node will move to copy data storage nodes in situ execution,reduce the data transmission time,greatly improving the mining efficiency.关键词
云计算/物联网/数据挖掘/Map/Reduce/关联规则/副本策略Key words
Cloud Computing/the Internet of Things/Data Mining/Map/Reduce/Association RuIes/Copy Strategy分类
信息技术与安全科学引用本文复制引用
张海江,赵建民,朱信忠,徐慧英..基于云计算的物联网数据挖掘[J].微型电脑应用,2012,28(6):10-13,4.基金项目
浙江省自然科学基金(Y1101269).科技计划项目(2008C11106-2) （Y1101269）
