Proposition of Innovative and Scalable Information System for Call Detail Records Analysis and Visualisation

Author:

Kozik Rafał,Choraś Michał,Pawlicki Marek,Pawlicka Aleksandra,Warczak Wojciech,Mazgaj Grzegorz

Publisher

Springer International Publishing

Reference13 articles.

1. Jiang, S., Fiore, G.A., Yang, Y., Ferreira Jr., J., Frazzoli, E., González, M.C.: A review of urban computing for mobile phone traces: Current methods, challenges and opportunities. In: Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing, UrbComp 2013, pp. 2:1–2:9. ACM, New York (2013)

2. Ayesha, B., Jeewanthi, B., Chitraranjan, C., Perera, A.S., Kumarage, A.S.: User localization based on call detail record. In: Yin, H., Camacho, D., Tino, P., Tallón-Ballesteros, A.J., Menezes, R., Allmendinger, R. (eds.) Intelligent Data Engineering and Automated Learning – IDEAL 2019, pp. 411–423. Springer, Cham (2019)

3. Wijesinghe, W.O.K.I.S., Kumarasinghe, C.U., Mannapperuma, J., Liyanage, K.L.D.U.: Socioeconomic status classification of geographic regions in Sri Lanka through anonymized call detail records. In: Haldorai, A., Ramu, A., Mohanram, S., Onn, C.C. (eds.) EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing, pp. 299–311. Springer, Cham (2020)

4. Becker, R.A., Cáceres, R., Hanson, K., Loh, J.M., Urbanek, S., Varshavsky, A., Volinsky, C.: Clustering anonymized mobile call detail records to find usage groups. In: Workshop on Pervasive and Urban Applications (PURBA) (2011)

5. Khan, E.S., Azmi, H., Ansari, F., Dhalvelkar, S.: Simple implementation of criminal investigation using call data records (CDRS) through big data technology. In: 2018 International Conference on Smart City and Emerging Technology (ICSCET), pp. 1–5, January 2018

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