Socioeconomic Status Classification of Geographic Regions in Sri Lanka Through Anonymized Call Detail Records-Reference-Cited by-同舟云学术

Socioeconomic Status Classification of Geographic Regions in Sri Lanka Through Anonymized Call Detail Records

Published:2019-10-19 Issue: Volume: Page:299-311
ISSN:2522-8595
Container-title:EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing
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Author:

Wijesinghe W. O. K. I. S.,Kumarasinghe C. U.,Mannapperuma J.,Liyanage K. L. D. U.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-19562-5_30

Reference12 articles.

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2. R.A. Becker, R. Caceres, K. Hanson, J.M. Loh, S. Urbanek, A. Varshavsky, C. Volinsky, Clustering anonymized mobile call detail records to find usage groups, in 1st Workshop on Pervasive Urban Applications (2011)

3. C. Cowan, R. Hauser, R. Kominski, H. Levin, S. Lucas, S. Morgan, M. Spencer, C. Chapman, Improving the measurement of socioeconomic status for the national assessment of educational progress: a theoretical foundation (recommendations for the National Center for Education Statistics), Washington (2012)

4. V. Frias-Martinez, J. Virseda, Cell phone analytics: scaling human behavior studies into the millions. Inf. Technol. Int. Dev. 19, ICTD2012 (2013)

5. V. Frias-Martinez, J. Virseda-Jerez, E. Frias-Martinez, On the relation between socio-economic status and physical mobility. Inf. Technol. Dev. 18, 91–106 (2012)

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1. Coupling human mobility and social relationships to predict individual socioeconomic status: A graph neural network approach;Transactions in GIS;2024-06-07

2. Proposition of Innovative and Scalable Information System for Call Detail Records Analysis and Visualisation;13th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2020);2020-08-28