City users' classification with mobile phone data

Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015

Volumn , Issue , 2015, Pages 1007-1012

  Gabrielli, Lorenzo ^a,b   Furletti, Barbara ^b   Trasarti, Roberto ^b   Giannotti, Fosca ^b   Pedreschi, Dino ^a  

^a UNIVERSITY OF PISA   (Italy)

^b ISTI CNR   (Italy)

Author keywords

classification; individual profiles; mobile phone data; semi automatic methods

Indexed keywords

CELLULAR TELEPHONES; CLASSIFICATION (OF INFORMATION); MOBILE PHONES; TELEPHONE SETS;

ANALYTICAL PROCESS; INDIVIDUAL PROFILES; ITS EVALUATION; MOBILE PHONE DATUM; MOBILE-PHONE USERS; SEMIAUTOMATIC METHODS; SPATIO TEMPORAL; URBAN DYNAMICS;

BIG DATA;

EID: 84963722908     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BigData.2015.7363852     Document Type: Conference Paper

References (11)

1. Ahas, R., Silm, S., Jarv, O., Saluveer, E., Tiru, M. : Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones. Journal of Urban Technology, Vol. 17, nr. 1, pp. 3-27. (2010)
2. Isaacman, S., Becker, R., Caceres, R., Martonosi, M., Rowland, J., Varshavsky, A. : Ranges of human mobility in Los Angeles and New York. PERCOM (2011)
3. Isaacman, S., Becker, R., Caceres, R., Martonosi, M., Rowland, J., Varshavsky, A., Willinger, W. : Human mobility modeling at metropolitan scales. MobiSys (2012)
4. Hastie, T., Tibshirani, R., Friedman, J. : The elements of statistical learning: data mining, inference, and prediction. Springer Book, New York (2001)
5. Cristianini, N., Shawe-Taylor, J. : An introduction to support vector machines and other kernel-based learning methods. Cambridge University Press (2000)
6. Dasarathy, B. V. : Nearest Neighbor (NN) norms: NN pattern classification techniques. IEEE Computer Society Press, Los Alamitos, CA (1991)
7. Furletti, B., Gabrielli, L., Giannotti, F., Milli, L., Nanni, M., Pedreschi, D., Vivio, R., Garofalo, G. : Use of mobile phone data to estimate mobility flows. Measuring urban population and inter-city mobility using big data in an integrated approach. SIS (2014)
8. Furletti, B., Gabrielli, L., Renso, C., Rinzivillo, S. Analysis of GSM calls data for understanding user mobility behavior. IEEE Big Data (2013)
9. Monreale, A., Rinzivillo, S., Pratesi, F., Giannotti, F., and Pedreschi, D. Privacy-by-design in big data analytics and social mining. EPJ Data Science 10 (2014)
10. Traag, V. A., Browet, A., Calabrese, F., Morlot, F. Social event detection in massive mobile phone data using probabilistic location inference. IEEE SocialCom/PASSAT. 625, 628 (2011)
11. Quercia, D., Di Lorenzo, G., and Ratti, C. Mobile phones and outdoor advertising: Measurable advertising. Journal of Pervasive Computing (2011)