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第四范式视角下的大数据科学
引用本文:顾峥,高阳.第四范式视角下的大数据科学[J].南京气象学院学报,2019,11(3):251-255.
作者姓名:顾峥  高阳
作者单位:计算机软件新技术国家重点实验室(南京大学), 南京, 210023,计算机软件新技术国家重点实验室(南京大学), 南京, 210023
基金项目:国家自然科学基金(61432008);国家重点研发计划重点专项课题(2017YFB0702 601)
摘    要:随着物联网、云计算技术的飞速发展,大数据及其相关科学成为学术界和工业界关注的热点.本文从范式理论的角度对大数据科学进行剖析,阐述大数据研究与传统研究的联系与区别;从机器学习的视角出发,分析了大数据带来的三大主要挑战及其背后的科学问题.此外,本文介绍了第四范式视角下进行大数据科学研究的洞察力,以及其所具有的积极意义;最后总结并展望未来大数据科学面临的挑战.

关 键 词:范式理论  大数据  机器学习
收稿时间:2019/5/1 0:00:00

Big data science from the perspective of the fourth paradigm
GU Zheng and GAO Yang.Big data science from the perspective of the fourth paradigm[J].Journal of Nanjing Institute of Meteorology,2019,11(3):251-255.
Authors:GU Zheng and GAO Yang
Institution:State Key Laboratory for Novel Software Technology at Nanjing University, Nanjing 210023 and State Key Laboratory for Novel Software Technology at Nanjing University, Nanjing 210023
Abstract:With the rapid development of Internet of things and cloud computing,big data and its related science have become the focus of industry and academia.In this paper,we analyzes big data science from the perspective of paradigm theory and expounds the difference and connection between big data and traditional research.Three major challenges brought by big data are proposed in perspective of machine learning,with the corresponding scientific problems following.In addition,this paper introduces several insights of big data science from the perspective of the forth paradigm and its positive significance.In the end,we summarize and look forward to the challenges of big data science in the future.
Keywords:paradigm theory  big data  machine learning
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