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DOI:	10.1371/journal.pone.0170907
论文题名:	Collective Prediction of Individual Mobility Traces for Users with Short Data History
作者:	Bartosz Hawelka; Izabela Sitko; Pavlos Kazakopoulos; Euro Beinat
刊名:	PLOS ONE
ISSN:	1932-6203
出版年:	2017
发表日期:	2017-1-30
卷:	12, 期:1
语种:	英语
英文关键词:	Markov models ; Human mobility ; Antennas ; Machine learning algorithms ; Forecasting ; Behavior ; Algorithms ; Dynamical systems
英文摘要:	We present and test a sequential learning algorithm for the prediction of human mobility that leverages large datasets of sequences to improve prediction accuracy, in particular for users with a short and non-repetitive data history such as tourists in a foreign country. The algorithm compensates for the difficulty of predicting the next location when there is limited evidence of past behavior by leveraging the availability of sequences of other users in the same system that provide redundant records of typical behavioral patterns. We test the method on a dataset of 10 million roaming mobile phone users in a European country. The average prediction accuracy is significantly higher than that of individual sequence prediction algorithms, primarily constant order Markov models derived from the user’s own data, that have been shown to achieve high accuracy in previous studies of human mobility. The proposed algorithm is generally applicable to improve any sequential prediction when there is a sufficiently rich and diverse dataset of sequences.
URL:	http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0170907&type=printable
Citation statistics:
资源类型:	期刊论文
标识符:	http://119.78.100.158/handle/2HF3EXSE/25932
Appears in Collections:	过去全球变化的重建影响、适应和脆弱性科学计划与规划气候变化与战略全球变化的国际研究计划气候减缓与适应气候变化事实与影响

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journal.pone.0170907.pdf（3035KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	View Download

作者单位:

Department of Geoinformatics - Z_GIS, University of Salzburg, Salzburg, Austria;CS Research Foundation, Amsterdam, The Netherlands;Department of Geoinformatics - Z_GIS, University of Salzburg, Salzburg, Austria;CS Research Foundation, Amsterdam, The Netherlands;CS Research Foundation, Amsterdam, The Netherlands;Department of Geoinformatics - Z_GIS, University of Salzburg, Salzburg, Austria;CS Research Foundation, Amsterdam, The Netherlands

Recommended Citation:

Bartosz Hawelka,Izabela Sitko,Pavlos Kazakopoulos,et al. Collective Prediction of Individual Mobility Traces for Users with Short Data History[J]. PLOS ONE,2017-01-01,12(1)

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