Location segmentation, inference and prediction for anticipatory computing

AAAI Spring Symposium - Technical Report

Volumn SS-09-09, Issue , 2009, Pages 20-25

  Eagle, Nathan ^a   Clauset, Aaron ^b   Quinn, John A ^c  

^a MIT MEDIA LAB   (United States)

^b SANTA FE INSTITUTE   (United States)

^c MAKERERE UNIVERSITY   (Uganda)

Author keywords

[No Author keywords available]

Indexed keywords

ABNORMAL BEHAVIOR; COMMUNITY DETECTION; DYNAMIC BAYESIAN NETWORK; FACTOR MODEL; LATENT VARIABLE; UNSUPERVISED CLUSTERING TECHNIQUE;

BAYESIAN NETWORKS; CELLULAR TELEPHONE SYSTEMS; INFERENCE ENGINES; LOCATION;

TOWERS;

EID: 70350545903     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Ashbrook, D., and Starner, T. 2003. Using gps to learn significant locations and predict movement across multiple users. Personal and Ubiquitous Computing 7:275-286.
2. Chen, M.; Sohn, T.; Chmelev, D.; Haehnel, D.; Hightower, J.; Hughes, J.; LaMarca, A.; Potter, K; Smith, I.; and Var-shavsky, A. 2006. Practical metropolitan-scale positioning for gsm phones. Ubicomp 2006, Lecture Notes in Computer Science 4206:225-242.
3. Clauset, A.; Newman, M. E. J.; and Moore, C. 2004. Finding community structure in very large networks. Physical Review E 70(6).
4. Davis, M.; King, S.; Good, N.; and Sarvas, R. 2004. From context to content: leveraging context to infer media metadata. Proceedings of the 12th annual ACM international conference on Multimedia, October 10-16, 2004, New York, NY, USA.
5. Eagle, N., and Pentland, A. 2006. Reality mining: sensing complex social systems. Personal and Ubiquitous Computing 10:255-268.
6. Gonzalez, M. C; Hidalgo, C. A.; and Barabasi, A.-L. 2008. Understanding individual human mobility patterns. Nature 453(7196):779-782.
7. LaMarca, A.; Chawathe, Y.; Consolvo, S.; and Hightower, J. 2005. Place lab: Device positioning using radio beacons in the wild. Pervasive 2005, LNCS 3468:116-133.
8. Liao, L.; Patterson, D.; Fox, D.; and Kautz, H. 2004. Learning and inferring transportation routines. Proceedings of the Nineteenth National Conference on Artificial Intelligence 348-353.
9. Newman, M., and Girvan, M. 2004. Finding and evaluating community structure in networks. Physical Review E 69.
10. Newman, M. 2006. Modularity and community structure in networks. Proceedings of the National Academy of Sciences.
11. Onnela, J.; Saramaki, J.; Hyvonen, J.; Szabo, G.; Lazer, D.; Kaski, K.; Kertesz, J.; and Barabasi, A.-L. 2007. Structure and tie strengths in mobile communication networks. Proceedings of the National Academy of Sciences 104:7332-7336.
12. Otsason, V.; Varshavsky, A.; LaMarca, A.; and de Lara, E. 2005. Accurate gsm indoor localization. Ubicomp 2005, LNCS 141-158.
13. Schwaighofer, A.; Grigoras, M.; Tresp, V.; and Hoffmann, C. 2004. Gpps: A gaussian process positioning system for cellular networks. Advances in Neural Information Processing Systems 16.
14. Shi, J., and Malik, J. 2000. Normalized cuts and image segmentation. IEEE Transactions on Pattern Analysis and Machine Learning 22(8):888-905.
15. Sohn, T.; Varshavsky, A.; LaMarca, A.; and Chen, M. 2006. Mobility detection using everyday gsm traces. Ubicomp 2006, Lecture Notes in Computer Science 212-224.