大数据背景下的高校智慧校园建设研究被引量：6

Research on the Construction of Smart Campus in Colleges and Universities under the Background of Big Data

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摘要随着我国科学技术水平的持续提升,物联网、IT技术、云计算、移动互联网等技术在我国也有了越来越快的发展。因此本文对高校信息化建设面临的挑战,以及大数据背景下高校智慧校园建设的特点和方式进行了深入的分析,旨在其能推动我国高校智慧校园建设的进一步创新与发展。 With the continuous improvement of China＇s science and technology, Internet of Things, IT technology, cloud computing, mobile Internet and other technologies have also developed faster and faster in China. Therefore, this paper analyzes the challenges faced by colleges and universities informatization construction and the characteristics and methods of colleges and universities＇ smart campus construction in the context of big data, in order to promote the further innovation and development of the smart campus construction in Chinese universities.

作者黄剑 HUANG Jian(Guangxi Transportation School,Nanning Guangxi 53000)

机构地区广西交通运输学校

出处《数字技术与应用》 2018年第5期117-118,共2页 Digital Technology & Application

基金 2016年度广西职业教育教学改革研究立项项目 <物联网应用技术专业核心课程的教学资源库建设研究与实践>GXZZJG 2016A039

关键词大数据高校智慧校园 big data colleges and universities smart campus

分类号 G434 [文化科学—教育技术学]

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参考文献2

1王元卓,靳小龙,程学旗.网络大数据:现状与展望[J].计算机学报,2013,36(6):1125-1138. 被引量：714
2姜楠.高校智慧校园的建设[J].信息与电脑（理论版）,2014,0(5):256-256. 被引量：6

二级参考文献69

1Big data. Nature, 2008, 455(7209): 1-136.
2Dealing with data. Science,2011,331(6018): 639-806.
3Holland J. Emergence: From Chaos to Order. RedwoodCity,California: Addison-Wesley? 1997.
4Anthony J G Hey. The Fourth Paradigm: Data-intensiveScientific Discovery. Microsoft Research, 2009.
5Phan X H, Nguyen L M,Horiguchi S. Learning to classifyshort and sparse text Web with hidden topics from large-scale data collections//Proceedings of the 17th InternationalConference on World Wide Web. Beijing, China,2008:91-100.
6Sahami M, Heilman T D. A web-based kernel function formeasuring the similarity of short text snippets//Proceedingsof the 15th International Conference on World Wide Web.Edinburgh, Scotland, 2006: 377-386.
7Efron M, Organisciak P,Fenlon K. Improving retrieval ofshort texts through document expansion//Proceedings of the35th International ACM SIGIR Conference on Research andDevelopment in Information Retrieval. Portland, OR, USA,2012: 911-920.
8Hong L,Ahmed A, Gurumurthy S,Smola A J, Tsioutsiou-liklis K. Discovering geographical topics in the twitterstream//Proceedings of the 21st International Conference onWorld Wide Web(WWW 2012). Lyon, France, 2012:769-778.
9Pozdnoukhov A,Kaiser C. Space-time dynamics of topics instreaming text//Proceedings of the 3rd ACM SIGSPATIALInternational Workshop on Location-Based Social Networks.Chicago-IL,USA, 2011: 1-8.
10Sun Yizhou,Norick Brandon, Han Jiawei, Yan Xifeng, YuPhilip S,Yu Xiao. Integrating meta-path selection with user-guided object clustering in heterogeneous information net-works/ /Proceedings of the 18th ACM SIGKDD InternationalConference on Knowledge Discovery and Data Mining.Beijing, China, 2012: 1348-1356.