Predicting mobile phone user locations by exploiting collective behavioral patterns

Proceedings - IEEE 9th International Conference on Ubiquitous Intelligence and Computing and IEEE 9th International Conference on Autonomic and Trusted Computing, UIC-ATC 2012

Volumn , Issue , 2012, Pages 164-171

  Xiong, Haoyi ^a   Zhang, Daqing ^a   Zhang, Daqiang ^a   Gauthier, Vincent ^a  

^a INSTITUT NATIONAL DES TÉLÉCOMMUNICATIONS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ASSOCIATION PATTERNS; BEHAVIORAL PATTERNS; CELLULAR NETWORK; COLLECTIVE BEHAVIOR; DATA SETS; HUMAN MOBILITY; HYBRID PREDICTORS; LOCATION PREDICTION; MOBILE-PHONE USERS; PREDICTION ACCURACY; REALITY MININGS; STRONG CORRELATION; USER LOCATION;

CELLULAR TELEPHONES; UBIQUITOUS COMPUTING;

FORECASTING;

EID: 84869840172     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/UIC-ATC.2012.28     Document Type: Conference Paper

References (17)

1. B. Rao and L. Minakakis,"Evolution of mobile locationbased services," Communications of the ACM, vol. 46, no. 12, pp. 61-65, 2003.
2. A. Roy, S. Das, and A. Misra,"Exploiting information theory for adaptive mobility and resource management in future cellular networks," Wireless Communications, IEEE, vol. 11, pp. 59-65, 2004.
3. C. Song, Z. Qu, N. Blumm, and A.-L. Barabási,"Limits of predictability in human mobility," Science, vol. 327, no. 5968, pp. 1018-1021, 2010.
4. F. Lassabe, P. Canalda, P. Chatonnay, F. Spies, N. Center, and D. Charlet,"Predictive mobility models based on kth markov models," in IEEE Int. Conf. on pervasive services, 2006, pp. 303-306.
5. W. Gao, Q. Li, B. Zhao, and G. Cao,"Multicasting in delay tolerant networks: a social network perspective," in in Proc. of the 10th ACM intl. Sym. on MobiHoc. ACM, 2009, pp. 299-308.
6. F. Calabrese, G. Di Lorenzo, and C. Ratti,"Human mobility prediction based on individual and collective geographical preferences," in in Proc. IEEE Intl. Conf. on Intelligent Transportation Systems, Madeira Island, Portugal, 2010.
7. J. Han, H. Cheng, D. Xin, and X. Yan,"Frequent pattern mining: current status and future directions," Data Mining and Knowledge Discovery, vol. 15, pp. 55-86, 2007.
8. A. S. P. N. Eaglea and D. Lazerc,"Inferring social network structure using mobile phone data," in Proc. of the National Academy of Sciences (PNAS), vol. 106, pp. 15 274-15 278, 2009.
9. L. Song, D. Kotz, R. Jain, and X. He,"Evaluating location predictors with extensive wi-fi mobility data," in in Proc. of INFOCOM 2004. IEEE, 2004, pp. 1414-1424.
10. E. Cho, S. A. Myers, and J. Leskovec,"Friendship and mobility: user movement in location-based social networks," in in Proc. of the 17th ACM Conf. on KDD, San Diego, CA, USA, 2011, pp. 1082-1090.
11. M. Musolesi and C. Mascolo,"A community based mobility model for ad hoc network research," in in Proc. of the 2nd Intl. Workshop on Multi-hop Ad Hoc Networks: From Theory To Reality. Florence, Italy: ACM, 2006, pp. 31-38.
12. C. Boldrini and A. Passarella,"Modelling spatial and temporal properties of human mobility driven by users' social relationships," Comput. Commun., vol. 33, no. 9, pp. 1056-1074, 2010.
13. K. P. A. H. W. J. Hsu, T. Spyropoulos,"Modeling time-variant user mobility in wireless mobile networks," in in Proc. of the 27th IEEE Intl. Conf. on Computer Communications, Alaska, USA, 2007, pp. 758-766.
14. R. H. Katz,"CS-294-7: Handoff Strategies, University of UC Berkeley."
15. Y. Liu, Z. Yang, X. Wang, and L. Jian,"Location, localization, and localizability," Journal of Computer Sci. and Tech., vol. 25, pp. 274-297, 2010.
16. R. Begleiter, R. El-Yaniv, and G. Yona,"On prediction using variable order markov models," J. Artif. Intell. Res. (JAIR), vol. 22, pp. 385-421, 2004.
17. G. Shafer, A mathematical theory of evidence. Princeton University Press, 1976.