Analysis of GSM calls data for understanding user mobility behavior

Proceedings - 2013 IEEE International Conference on Big Data, Big Data 2013

Volumn , Issue , 2013, Pages 550-555

  Furletti, Barbara ^a   Gabrielli, Lorenzo ^a   Renso, Chiara ^a   Rinzivillo, Salvatore ^a  

^a ISTI CNR   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

BIG DATA; GLOBAL SYSTEM FOR MOBILE COMMUNICATIONS;

COLLABORATION MODELS; COMPACT REPRESENTATION; MINING ALGORITHMS; MOBILE-PHONE USERS; MOBILITY BEHAVIOR; PRIVACY CONSTRAINTS; PRIVACY PRESERVING; TWO-STEP PROCESS;

BEHAVIORAL RESEARCH;

EID: 84893330545     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BigData.2013.6691621     Document Type: Conference Paper

References (11)

1. B. Furletti, L. Gabrielli, C. Renso, and S. Rinzivillo, "Identifying users profiles from mobile calls habits," in In the Proc. of UrbComp'12, 2012.
2. F. Calabrese, M. Colonna, P. Lovisolo, D. Parata, and C. Ratti, "Realtime urban monitoring using cell phones: A case study in rome," IEEE Transactions on Intelligent Transportation Systems, vol. 12, pp. 141-151, 2011.
3. C. Ratti, A. Sevtsuk, S. Huang, and R. Pailer, "Mobile landscapes: Graz in real time," 2005, mIT Senseable City Lab.
4. J. Schlaich, T. Ottersẗatter, and M. Friedrich, "Generating trajectories from mobile phone data," in Proceedings of the 89th Annual Meeting Compendium of Papers, Transportation Research Board of the National Academies, 2010.
5. R. Ahas, S. Silm, S. J̈arv, and E. Saluveer, "Using mobile positioning data to model locations meaningful to users of mobile phones," Journal of Urban Technology, vol. 17, no. 1, 2010.
6. F. C. Pereira, L. Liu, and F. Calabrese, "Profiling transport demand for planned special events: Prediction of public home distributions," 2010, available online at www.scienceDirect.com.
7. D. Quercia, N. Lathia, F. Calabrese, G. D. Lorenzo, and J. Crowcroft, "Recommending social events from mobile phone location data," in International Conference on Data Mining, ICDM, 2010, pp. 971-976.
8. G. Andrienko, N. Andrienko, P. Bak, S. Bremm, D. Keim, T. von Landesberger, C. Poelitz, and T. Schreck, "A framework for using selforganising maps to analyse spatio-temporal patterns, exemplified by analysis of mobile phone usage," Journal of Location Based Services, vol. 4, no. 3-4, 2010.
9. T. Kohonen, Self-Organizing Maps, ser. Springer Series in Information Sciences. Springer, 2001. [Online]. Available: http://books.google.it/ books?id=e4igHzyfO78C
10. Wikipedia, "Call data record," http://en.wikipedia.org/wiki/ Call detail record.
11. M. Nanni, R. Trasarti, B. Furletti, L. Gabrielli, P. V. D. Mede, J. D. Bruijn, E. D. Romph, and G. Bruil, "Mp4-A project: Mobility planning for africa," 2013, mobile Phone Data for Development. Analysis of mobile phone datasets for development of Ivory Coast.