CAJ | 학술논문

随着互联网和计算机技术越来越广泛的应用，数据量也在迅速增长，如何在海量数据中快速挖掘到有价值的信息成为数据挖掘研究的重点。本文分析了 Hadoop 云计算平台，设计了基于 Hadoop的数据分析系统，提出了基于MapReduce的K-均值空间聚类算法。
수착호련망화계산궤기술월래월엄범적응용，수거량야재신속증장，여하재해량수거중쾌속알굴도유개치적신식성위수거알굴연구적중점。본문분석료 Hadoop 운계산평태，설계료기우 Hadoop적수거분석계통，제출료기우MapReduce적K-균치공간취류산법。
With the usage of Internet and computer technology more widely,the amount of data is growing rapidly, therefore,how to quickly tap into the vast amounts of data in data mining valuable information becomes focus of the researc-hing fields.The paper analyzed the Hadoop cloud computing platform and designed Hadoop-based data analysis system,fi-nally concluded K-means clustering algorithm space based on MapReduce.