摘要
梳理了大数据研究的4项关键技术:"数据的采集、预处理与存储"、"数据的分析与挖掘"、"数据的隐私保护"、"数据中心体系结构",挖掘和展示了国内外大数据研究的热点,以期对该领域的研究有一个系统而全面的认识。从处理平台、分析产品、标准化3个方面介绍了大数据技术应用的现状,并列举了大数据现有的产品应用及各行业应用案例。最后。从大数据的分析策略、深度学习、隐私保护和数据质量几个方面揭示了大数据研究存在的挑战和机遇,以期为后续大数据技术应用的发展提供参考。
The research includes computer science, information science, management science, psychology, etc. Four key technologies in big data research, data collection, preproeessing and storage, data analysis and mining, data privacy protection, data center system structure were discussed and the hot research topics from domestic and overseas research groups were demonstrated in order to have comprehensive and systematic understanding of big data. The application status of big data was introduced from three perspectives, application platforms, relevant products and standardization. Meanwhile, description of current business in big data and other field was presented. Eventually, the opportunities and challenges in big data research were revealed through big data analysis strategies, privacy protection and data quality, which provide the guideline for future research.
出处
《电信科学》
北大核心
2015年第7期1-12,共12页
Telecommunications Science
基金
国家重点基础研究发展计划("973"计划)基金资助项目(No.2013CB329102)
国家自然科学基金资助项目(No.61471063
No.61372120
No.61271019
No.61101119
No.61121001)
教育部科学技术研究重点(重大)项目(No.MCM20130310)
北京高等学校青年英才计划基金资助项目(No.YETP0473)
高等学校博士学科点专项科研基金资助课题(No.20100005110008)~~
关键词
大数据
数据分析
数据挖掘
非结构化数据
隐私保护
并行计算
社交网络数据
big data, data analysis, data mining, unstructured data, privacy protection, parallel computing, socialnetwork data
