Table of Contents Author Guidelines Submit a Manuscript
The Scientific World Journal
Volume 2013, Article ID 589610, 11 pages
http://dx.doi.org/10.1155/2013/589610
Research Article

Unsupervised User Similarity Mining in GSM Sensor Networks

Department of Computer Science and Technology, University of Science and Technology of China, Huangshan Road, Hefei, Anhui 230027, China

Received 29 December 2012; Accepted 26 January 2013

Academic Editors: Y.-P. Huang and M.-A. Sicilia

Copyright © 2013 Shafqat Ali Shad and Enhong Chen. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. M. Couceiro, D. Suarez, D. Manzano, and L. Lafuente, “Data stream processing on real-time mobile advertisement,” in Proceedings of the 12th IEEE International Conference on Mobile Data Management, pp. 313–320, June 2011.
  2. Ad Orchestrator, http://prodcat.ericsson.se/frontend/category.action?code=FGD%20101%20008.
  3. C. Yang, J. Yang, X. Luo, and P. Gong, “Use of mobile phones in an emergency reporting system for infectious disease surveillance after the Sichuan earthquake in China,” Bulletin of the World Health Organization, vol. 87, no. 8, pp. 619–623, 2009. View at Publisher · View at Google Scholar · View at Scopus
  4. S. S. Kanhere, “Participatory sensing: crowdsourcing data from mobile smartphones in urban spaces,” in Proceedings of the 12th IEEE International Conference on Mobile Data Management (MDM '11), pp. 3–6, June 2011.
  5. L. Chen, M. Lv, Q. Ye, G. Chen, and J. Woodward, “A personal route prediction system based on trajectory data mining,” Information Sciences, vol. 181, no. 7, pp. 1264–1284, 2011. View at Publisher · View at Google Scholar · View at Scopus
  6. http://thenextweb.com/mobile/2011/07/03/the-rise-of-the-mobile-social-network/.
  7. A. Harter and A. Hopper, “Distributed location system for the active office,” IEEE Network, vol. 8, no. 1, pp. 62–70, 1994. View at Google Scholar · View at Scopus
  8. A. Harter, A. Hopper, P. Steggles, A. Ward, and P. Webster, “The anatomy of a context-aware application,” Wireless Networks, vol. 8, no. 2-3, pp. 187–197, 2002. View at Publisher · View at Google Scholar · View at Scopus
  9. “Location technologies for GSM, GPRS and WCDMA networks,” White Paper, SnapTrack, A QUALCOMM, November 2001.
  10. M. Garetto and E. Leonardi, “Analysis of random mobility models with pde’s,” in Proceedings of the 7th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc '06), pp. 73–84, Florence, Italy, May 2006.
  11. T. Abdelzaher, Y. Anokwa, P. Boda et al., “Mobiscopes for human spaces,” IEEE Pervasive Computing, vol. 6, no. 2, pp. 20–29, 2007. View at Publisher · View at Google Scholar · View at Scopus
  12. M. Demirbas et al., “iMAP: indirect measurement of air pollution with cellphones,” CSE Technical Reports, 2008. View at Google Scholar
  13. A. Pentland, “Automatic mapping and modeling of human networks,” Physica A: Statistical Mechanics and Its Applications, vol. 378, no. 1, pp. 59–67, 2007. View at Publisher · View at Google Scholar · View at Scopus
  14. A. Krause, E. Horvitz, A. Kansal, and F. Zhao, “Toward community sensing,” in Proceedings of the International Conference on Information Processing in Sensor Networks (IPSN '08), pp. 481–492, April 2008. View at Publisher · View at Google Scholar · View at Scopus
  15. K. Laasonen, “Clustering and prediction of mobile user routes from cellular data,” in Proceedings of the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD '05), pp. 569–576, 2005.
  16. A. Lindgren, C. Diot, and J. Scott, “Impact of communication infrastructure on forwarding in pocket switched networks,” in Proceedings of the SIGCOMM Workshop on Challenged Networks (SIGCOMM '06), pp. 261–268, 2006.
  17. L. Wang, Y. Jia, and W. Han, “Instant message clustering based on extended vector space model,” in Proceedings of the 2nd International Conference on Advances in Computation and Intelligence (ISICA '07), pp. 435–443, 2007.
  18. N. D. Ziv and B. Mulloth, “An exploration on mobile social networking: dodgeball as a case in point,” in Proceedings of the International Conference on Mobile Business (ICMB '06), Copenhagen, Denmark, June 2006.
  19. V. Bychkovsky, K. Chen, M. Goraczko et al., “Cartel: a distributed mobile sensor computing system,” in Proceedings of the 4th International Conference on Embedded Networked Sensor Systems (SenSys '06), pp. 125–138, November 2006. View at Publisher · View at Google Scholar · View at Scopus
  20. J. Burke, D. Estrin, M. Hansen et al., “Participatory sensing,” in Proceedings of ACM Sensys World Sensor Web Workshop, 2006.
  21. D. Kirovski, N. Oliver, M. Sinclair, and D. Tan, “Health-OS: a position paper,” in Proceedings of the ACM SIGMOBILE International Workshop on Systems and Networking Support for Healthcare and Assisted Living Environments, pp. 76–78, June 2007. View at Publisher · View at Google Scholar · View at Scopus
  22. E. M. Daly and M. Haahr, “Social network analysis for routing in disconnected delay-tolerant MANETs,” in Proceedings of the 8th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc '07), pp. 32–40, September 2007. View at Publisher · View at Google Scholar · View at Scopus
  23. M. M. Zonoozi and P. Dassanayake, “User mobility modeling and characterization of mobility patterns,” IEEE Journal on Selected Areas in Communications, vol. 15, no. 7, pp. 1239–1252, 1997. View at Google Scholar · View at Scopus
  24. J. G. Markoulidakis, G. L. Lyberopoulos, D. F. Tsirkas, and E. D. Sykas, “Mobility modeling in third-generation mobile telecommunications systems,” IEEE Personal Communications, vol. 4, no. 4, pp. 41–51, 1997. View at Google Scholar · View at Scopus
  25. I. F. Akyildiz and W. Wang, “The predictive usermobility profile framework for wireless multimedia networks,” IEEE/ACM Transactions on Networking, vol. 12, no. 6, pp. 1021–1035, 2004. View at Publisher · View at Google Scholar
  26. A. Chaintreau, P. Hui, J. Crowcroft, C. Diot, R. Gass, and J. Scott, “Impact of human mobility on opportunistic forwarding algorithms,” IEEE Transactions on Mobile Computing, vol. 6, no. 6, pp. 606–620, 2007. View at Publisher · View at Google Scholar · View at Scopus
  27. M. Musolesi and C. Mascolo, “Mobility models for systems evaluation. A survey,” in Middleware for Network Eccentric and Mobile Applications, Springer, Berlin, Germany, 2009. View at Google Scholar
  28. M. C. González, C. A. Hidalgo, and A. L. Barabási, “Understanding individual human mobility patterns,” Nature, vol. 453, no. 7196, pp. 779–782, 2008. View at Publisher · View at Google Scholar · View at Scopus
  29. P. Nurmi and J. Koolwaaij, “Identifying meaningful locations,” in Proceedings of the 3rd Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services (MobiQuitous '06), IEEE Computer Society, Sun Jose, Calif, USA, July 2006. View at Publisher · View at Google Scholar · View at Scopus
  30. S. A. Shad and E. Chen, “Precise location acquisition of mobility data using cell-id,” International Journal of Computer Science Issues, vol. 9, no. 3, pp. 222–231, 2012. View at Google Scholar
  31. S. A. Shad, E. Chen, and T. Bao, “Cell oscillation resolution in mobility profile building,” International Journal of Computer Science Issues, vol. 9, no. 3, pp. 205–213, 2012. View at Google Scholar
  32. R. Trasarti, F. Pinelli, M. Nanni, and F. Giannotti, “Mining mobility user profiles for car pooling,” in Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1190–1198, ACM, 2011.
  33. J. Pei, J. Han, B. Mortazavi-Asl et al., “PrefixSpan: mining sequential patterns efficiently by prefix-projected pattern growth,” in Proceedings of the 17th International Conference on Data Engineering (ICDE '01), pp. 215–224, April 2001. View at Scopus
  34. C. Luo and S. Chung, “Efficient mining of maximal sequential patterns using multiple samples,” in Proceeding of the SIAM International Conference on Data Mining (SDM '05), pp. 415–426, Newport Beach, Calif, USA, 2005.
  35. D. Wang, D. Pedreschi, C. Song, F. Giannotti, and A. -L. Barabasi, “Human mobility, social ties, and link prediction,” in Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, Calif, USA, August 2011.
  36. 2012, http://reality.media.mit.edu/download.php.
  37. N. Eagle, A. Pentland, and D. Lazer, “Inferring friendship network structure by using mobile phone data,” Proceedings of the National Academy of Sciences of the United States of America, vol. 106, no. 36, pp. 15274–15278, 2009. View at Publisher · View at Google Scholar · View at Scopus
  38. K. Järvelin and J. Kekäläinen, “IR evaluation methods for retrieving highly relevant documents,” in Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '00), pp. 41–48, ACM, New York, NY, USA, 2000. View at Publisher · View at Google Scholar