ELM Meets Urban Big Data Analysis: Case Studies
Joint Authors
Chen, Huajun
Zhang, Ningyu
Chen, Jiaoyan
Chen, Xi
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-08-29
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
In the latest years, the rapid progress of urban computing has engendered big issues, which creates both opportunities and challenges.
The heterogeneous and big volume of data and the big difference between physical and virtual worlds have resulted in lots of problems in quickly solving practical problems in urban computing.
In this paper, we propose a general application framework of ELM for urban computing.
We present several real case studies of the framework like smog-related health hazard prediction and optimal retain store placement.
Experiments involving urban data in China show the efficiency, accuracy, and flexibility of our proposed framework.
American Psychological Association (APA)
Zhang, Ningyu& Chen, Huajun& Chen, Xi& Chen, Jiaoyan. 2016. ELM Meets Urban Big Data Analysis: Case Studies. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1099692
Modern Language Association (MLA)
Zhang, Ningyu…[et al.]. ELM Meets Urban Big Data Analysis: Case Studies. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1099692
American Medical Association (AMA)
Zhang, Ningyu& Chen, Huajun& Chen, Xi& Chen, Jiaoyan. ELM Meets Urban Big Data Analysis: Case Studies. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1099692
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099692