摘要
针对我国大数据挖掘与分析能力弱、大数据算法应用和综合能力不高等问题,系统地介绍了大数据分析与应用技术创新平台的总体技术框架,详细分析了我国大数据分析与应用五大共性技术存在的不足和解决思路,并阐述了创新平台中四大支撑平台的设计思路与应用方向,最后对大数据分析与应用技术国家工程实验室未来的发展方向和重点工作进行了介绍。
In view of bottlenecks faced by big data analysis and application in China, such as weak big data mining and analysis ability, low big data algorithm application and comprehensive ability, the overall technical framework of big data analysis and application technology innovation platform was systematically introduced. The shortcomings and solutions of the five major common technologies in China＇s big data analysis and application were analyzed in detail. The design ideas and application directions of the four supporting platforms in the innovation platform were introduced. Finally, the future development direction and key work of the National Engineering Laboratory for Big Data Analysis and Application were introduced.
作者
张平文
鄂维南
袁晓如
傅毅明
ZHANG Pingwen;E Weinan;YUAN Xiaoru;FU Yiming(School of Mathematical Science,Peking University,Beijing 100871,China;Center for Data Science of Peking University,Beijing 100871,China;School of Electronics Engineering and Computer Science,Peking University,Beijing 100871,China;Beijing Institute of Big Data Research,Beijing 100871,China)
出处
《大数据》
2018年第4期85-93,共9页
Big Data Research
关键词
大数据
数据处理
质量控制
数据挖掘
可视分析
智能数据管理
国家工程实验室
big data
data processing
quality control
data mining
visual analytics
intelligent data management
National Engineering Laboratory
