摘要
文章基于传统数据挖掘与大数据挖掘对比的视角,对大数据挖掘的内涵进行了探讨,提出了云计算与挖掘服务融合的大数据挖掘体系架构,且以融合多功能的Hadoop大数据挖掘平台为例,剖析大数据挖掘内部工作流程并分析其优势及挑战,从而为用户对大数据挖掘的认知与应用需求提供参考。
Based on comparison of traditional data mining and big data mining,this paper discusses the connotation of big data mining and proposes a big data mining system architecture based on the fusion of cloud computing and mining service.Taking the multifunctional Hadoop big data mining platform as an example,the paper discusses the internal work flow of big data mining and analyzes its advantages and challenges as well,which provide reference for the users＇ cognition and application of big data mining.
出处
《情报理论与实践》
CSSCI
北大核心
2015年第7期103-108,共6页
Information Studies:Theory & Application
基金
国家自然科学基金项目"大数据环境下面向科学研究第四范式的信息资源云研究"的成果
项目编号:71373191
关键词
大数据
大数据挖掘
云计算
体系架构
big data
big data mining
cloud computing
system architecture
