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[ "廖建新,男,北京邮电大学网络与交换技术国家重点实验室网络智能研究中心主任、二级教授、博士生导师,“长江学者”特聘教授,教育部“创新团队”带头人,国务院学位委员会博士、硕士学位授权点评议专家,北京邮电大学学术委员会委员,《北京邮电大学学报》、《电信科学》编委。主要从事业务网络智能化、下一代互联网和大数据方向的研究工作;主持国家“973”计划项目、自然科学基金项目、国家高技术产业化信息化装备专项基金课题等国家级、部级科研项目20余项;作为第一完成人获国家科技进步奖二等奖2项,原信息产业部重大技术发明奖1 项及部级科技进步奖一等奖3项;获国家杰出青年基金资助,入选新世纪百千万人才工程国家级人选、教育部新世纪优秀人才支持计划,被评选为全国优秀博士后,获第九届中国青年科技奖,信息产业科技创新先进个人。在国际著名期刊发表SCI检索论文30余篇;出版专著3 部,合作出版国际专著2 部;作为第一完成人申请国家发明专利50余项,其中37项已授权,1项获得中国专利优秀奖。" ]
网络出版日期:2015-07,
纸质出版日期:2015-07-20
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廖建新. 大数据技术的应用现状与展望[J]. 电信科学, 2015,31(7):1-12.
Jianxin Liao. Big Data Technology:Current Applications and Prospects[J]. Telecommunications science, 2015, 31(7): 1-12.
廖建新. 大数据技术的应用现状与展望[J]. 电信科学, 2015,31(7):1-12. DOI: 10.11959/j.issn.1000-0801.2015189.
Jianxin Liao. Big Data Technology:Current Applications and Prospects[J]. Telecommunications science, 2015, 31(7): 1-12. DOI: 10.11959/j.issn.1000-0801.2015189.
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,preprocessing 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.
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