Citation: Ma Zhiliang, Liu Shilong, Liu Zhe. Big Data Techniques and its Applications in Civil Engineering. Journal of Information Technologyin Civil Engineering and Architecture, 2015, 7(5): 45-49. doi: 10.16670/j.cnki.cn11-5823/tu.2015.05.08
2015, 7(5): 45-49. doi: 10.16670/j.cnki.cn11-5823/tu.2015.05.08
Big Data Techniques and its Applications in Civil Engineering
Tsinghua University, Beijing 100084, China |
Big data techniques can rapidly process and mine value from mass data compared to traditional data analysis methods in many domains, such as finance and energy industry.Before we ascertain the prospect of big data techniques in civil engineering, the status quo of big data techniques that are used in civil engineering should be investigated.Articles related to big data and civil engineering are analyzed after being searched in the major literature databases including Web of Science, Engineering Village and China Knowledge Resource Integrated Database, and the status quo of big data technique application in civil engineering and the trends are analyzed.This paper facilitates the future research on the application of big data techniques in civil engineering.
[1] |
Gantz J, Reinsel D.Extracting value from chaos.IDC iView, 2011: 1-12. |
[2] |
Young S D.Behavioral insights on big data: using social media for predicting biomedical outcomes.Trends in microbiology, 2014, 22(11): 601-602.doi: 10.1016/j.tim.2014.08.004 |
[3] |
Lee C W, Cho S H, Kim J W, et al.Development of electric trading system using big data.International Journal of Multimedia & Ubiquitous Engineering, 2014, 9(2): 319-330. |
[4] |
Jeong Y S, Ma J, Yang L T, et al.Advanced communication systems for enhanced big data technology and applications.International Journal of Communication Systems, 2014, 27(6): 825-827.doi: 10.1002/dac.2789 |
[5] |
Sun C, Gao R, Xi H.Big data based retail recommender system of non E-commerce.In: Proceedings of 5th International Conference on Computing, Communications and Networking Technologies, 2014: 1-7. |
[6] |
Chen C L P, Zhang C Y.Data-intensive applications, challenges, techniques and technologies: a survey on big data.Information Sciences, 2014, 275: 314-347.doi: 10.1016/j.ins.2014.01.015 |
[7] |
孟小峰, 慈祥.大数据管理:概念、技术与挑战.计算机研究与发展, 2013, 1(1):146-169.doi: 10.7544/issn1000-1239.2013.20121130 |
[8] |
Grobelnik M. Big-data tutorial[R/OL]. [2015-10-01]. http://videolectures.net/eswc2012_grobelnik_big_data/ |
[9] |
Barwick H. ⅢS: The 'four Vs' of Big Data[EB/OL]. [2015-10-01]. http://www.computerworld.com.au/article/396198/iiis_four_vs_big_data/ |
[10] | |
[11] |
D'Oca S, Hong T.Occupancy schedules learning process through a data mining framework.Energy and Buildings, 2015, 88: 395-408.doi: 10.1016/j.enbuild.2014.11.065 |
[12] |
Lee C, Chen C, Yang X, et al.A workflow framework for big data analytics: event recognition in a building.In: Proceedings of 2013 IEEE 9th World Congress on Services, 2013: 21-28. |
[13] |
Hong Z, Tong X, Cao W, et al.Rapid three-dimensional detection approach for building damage due to earthquakes by the use of parallel processing of unmanned aerial vehicle imagery.Journal of Applied Remote Sensing, 2015, 9(1). |
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