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Modelling the Publishing Process of Big Location Data Using Deep Learning Prediction Methods
Yan, Yan1,2; Wang, Bingqian1; Sheng, Quan Z.2; Mahmood, Adnan2; Feng, Tao1; Xie, Pengshou1
刊名ELECTRONICS
2020-03-01
卷号9期号:3
关键词big location data publishing interval prediction deep learning adaptive adjusted sampling MODWT decomposition
DOI10.3390/electronics9030420
英文摘要Centralized publishing of big location data can provide accurate and timely information to assist in traffic management and for facilitating people to decide travel time and route, mitigate traffic congestion, and reduce unnecessary waste. However, the spatio-temporal correlation, non-linearity, randomness, and uncertainty of big location data make it impossible to decide an optimal data publishing instance through traditional methods. This paper, accordingly, proposes a publishing interval predicting method for centralized publication of big location data based on the promising paradigm of deep learning. First, the adaptive adjusted sampling method is designed to address the challenge of finding a reasonable release time via a prediction mechanism. Second, the Maximal Overlap Discrete Wavelet Transform (MODWT) is introduced for the decomposition of time series in order to separate different features of big location data. Finally, different deep learning models are selected to construct the entire framework according to various time-domain features. Experimental analysis suggests that the proposed prediction scheme is not only feasible, but also improves the prediction accuracy in contrast to the traditional deep learning mechanisms.
WOS研究方向Computer Science ; Engineering ; Physics
语种英语
出版者MDPI
WOS记录号WOS:000524079100041
内容类型期刊论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/155229]  
专题计算机与通信学院
作者单位1.Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou 730050, Peoples R China;
2.Macquarie Univ, Fac Sci & Engn, Dept Comp, Sydney, NSW 2109, Australia
推荐引用方式
GB/T 7714
Yan, Yan,Wang, Bingqian,Sheng, Quan Z.,et al. Modelling the Publishing Process of Big Location Data Using Deep Learning Prediction Methods[J]. ELECTRONICS,2020,9(3).
APA Yan, Yan,Wang, Bingqian,Sheng, Quan Z.,Mahmood, Adnan,Feng, Tao,&Xie, Pengshou.(2020).Modelling the Publishing Process of Big Location Data Using Deep Learning Prediction Methods.ELECTRONICS,9(3).
MLA Yan, Yan,et al."Modelling the Publishing Process of Big Location Data Using Deep Learning Prediction Methods".ELECTRONICS 9.3(2020).
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