Methodologies for continuous cellular tower data analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5538 LNCS, Issue , 2009, Pages 342-353

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

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b SANTA FE INSTITUTE   (United States)

^c MAKERERE UNIVERSITY   (Uganda)

Author keywords

[No Author keywords available]

Indexed keywords

ABNORMAL BEHAVIOR; COMMUNITY DETECTION; DATA ANALYSIS; DWELL TIME; DYNAMIC BAYESIAN NETWORKS; FACTOR MODEL; LATENT VARIABLE; NOVEL METHODOLOGY; UNSUPERVISED CLUSTERING TECHNIQUE;

BAYESIAN NETWORKS; CELLULAR TELEPHONE SYSTEMS; COMPUTER SCIENCE; INFERENCE ENGINES;

TOWERS;

EID: 67650314926     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-01516-8_23     Document Type: Conference Paper

References (18)

1. González, M.C., Hidalgo, C.A., Barabási, A.L.: Understanding individual human mobility patterns. Nature 453(7196), 779-782 (2008)
2. Onnela, J., Saramaki, J., Hyvonen, J., Szabo, G., Lazer, D., Kaski, K., Kertesz, J., Barabasi, A.L.: Structure and tie strengths in mobile communication networks. Proceedings of the National Academy of Sciences 104, 7332-7336 (2007)
3. Eagle, N., Pentland, A.: Reality mining: sensing complex social systems. Personal and Ubiquitous Computing 10, 255-268 (2006)
4. Chen, M., Sohn, T., Chmelev, D., Haehnel, D., Hightower, J., Hughes, J., LaMarca, A., Potter, F., Smith, I., Varshavsky, A.: Practical metropolitan-scale positioning for gsm phones. In: Dourish, P., Friday, A. (eds.) UbiComp 2006. LNCS, vol. 4206, pp. 225-242. Springer, Heidelberg (2006)
5. LaMarca, A., Chawathe, Y., Consolvo, S., Hightower, J.: Place lab: Device positioning using radio beacons in the wild. In: Gellersen, H.-W.,Want, R., Schmidt, A. (eds.) Pervasive 2005. LNCS, vol. 3468, pp. 116-133. Springer, Heidelberg (2005)
6. Davis, M., King, S., Good, N., Sarvas, R.: From context to content: leveraging context to infer media metadata. In: Proceedings of the 12th annual ACM international conference on Multimedia, New York, NY, USA, October 10-16 (2004)
7. Sohn, T., Varshavsky, A., LaMarca, A., Chen, M.: Mobility detection using everyday gsm traces. In: Dourish, P., Friday, A. (eds.) UbiComp 2006. LNCS, vol. 4206, pp. 212-224. Springer, Heidelberg (2006)
8. Laasonen, K., Raento, M., Toivonen, H.: Adaptive on-device location recognition. In: Ferscha, A., Mattern, F. (eds.) Pervasive 2004. LNCS, vol. 3001, pp. 287-304. Springer, Heidelberg (2004)
9. Hightower, J., Consolvo, S., LaMarca, A., Smith, I.: Learning and recognizing the places we go. In: Beigl, M., Intille, S.S., Rekimoto, J., Tokuda, H. (eds.) UbiComp 2005. LNCS, vol. 3660, pp. 159-176. Springer, Heidelberg (2005)
10. Otsason, V., Varshavsky, A., LaMarca, A., de Lara, E.: Accurate gsm indoor localization. In: Beigl, M., Intille, S.S., Rekimoto, J., Tokuda, H. (eds.) UbiComp 2005. LNCS, vol. 3660, pp. 141-158. Springer, Heidelberg (2005)
11. Ashbrook, D., Starner, T.: Using gps to learn significant locations and predict movement across multiple users. Personal and Ubiquitous Computing 7, 275-286 (2003)
12. Liao, L., Patterson, D., Fox, D., Kautz, H.: Learning and inferring transportation routines. In: Proceedings of the Nineteenth National Conference on Artificial Intelligence, pp. 348-353 (January 2004)
13. Shi, J., Malik, J.: Normalized cuts and image segmentation. IEEE Transactions on Pattern Analysis and Machine Learning 22(8), 888-905 (2000)
14. Newman, M.: Modularity and community structure in networks. Proceedings of the National Academy of Sciences (January 2006)
15. Newman, M., Girvan, M.: Finding and evaluating community structure in networks. Physical Review E 69 (January 2004)
16. Clauset, A., Newman, M.E.J., Moore, C.: Finding community structure in very large networks. Physical Review E 70(6) (December 2004)
17. Schwaighofer, A., Grigoras, M., Tresp, V., Hoffmann, C.: Gpps: A gaussian process positioning system for cellular networks. Advances in Neural Information Processing Systems 16 (January 2004)
18. Quinn, J., Williams, C., McIntosh, N.: Factorial switching linear dynamical systems applied to physiological condition monitoring. IEEE Transactions on Pattern Analysis and Machine Intelligence (January 2008)