Using on-the-move mining for mobile crowdsensing

Proceedings - 2012 IEEE 13th International Conference on Mobile Data Management, MDM 2012

Volumn , Issue , 2012, Pages 115-124

  Sherchan, Wanita ^a   Jayaraman, Prem P ^a   Krishnaswamy, Shonali ^a,b   Zaslavsky, Arkady ^c   Loke, Seng ^d   Sinha, Abhijat ^a  

^a MONASH UNIVERSITY   (Australia)

^b INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^c CSIRO   (Australia)

^d LA TROBE UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CONTEXT-AWARE; DATA COLLECTION; EFFICIENT STRATEGY; ENERGY USAGE; FACEBOOK; MOBILE DATA; MOBILE DATA MINING; MOBILE USERS; REAL-TIME DATA; REAL-TIME INFORMATION; SCALABLE APPROACH; SENSORY INFORMATION; SOCIAL MEDIA; SPECIFIC LOCATION;

BROADBAND NETWORKS; DATA ACQUISITION; GLOBAL SYSTEM FOR MOBILE COMMUNICATIONS; INFORMATION MANAGEMENT; MOBILE DEVICES; SOCIAL NETWORKING (ONLINE);

DATA MINING;

EID: 84870766233     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MDM.2012.58     Document Type: Conference Paper

References (12)

1. N. Lane, E. Miluzzo, H. Lu, D. Peebles, T. Choudhury, and A. Campbell, "A survey of mobile phone sensing," Communications Magazine, IEEE, vol. 48, no. 9, pp. 140-150, sept. 2010.
2. R. Ganti, F. Ye, and H. Lei, "Mobile crowdsensing: Current state and future challenges," IEEE Communications Magazine, vol. 49, no. 11, pp. 32-39, 2011.
3. E. Miluzzo, N. D. Lane, K. Fodor, R. Peterson, H. Lu, M. Musolesi, S. B. Eisenman, X. Zheng, , and A. T. Campbell, "Sensing meets mobile social networks: the design, implementation and evaluation of the cenceme application," in Proceedings of SenSys 2008. New York, NY, USA: ACM, 2008.
4. N. Eagle and A. Pentland, "Social serendipity: Mobilizing social software," IEEE Pervasive Computing, vol. 4, no. 2, 2005.
5. A. Beach, M. Gartrell, S. Akkala, J. Elston, J. Kelley, K. Nishimoto, B. Ray, S. Razgulin, K. Sundaresa, B. Surendar, M. Terada, , and R. Han, "Whozthat? evolving an ecosystem for context-aware mobile social networks," IEEE Network, vol. 22, no. 4, pp. 50-55, 2008.
6. A. Beach, M. Gartrell, X. Xing, R. Han, Q. Lv, S. Mishra, and K. Seada, "Fusing mobile, sensor, and social data to fully enable context-aware computing," in Proceedings of HotMobile 2010. ACM, 2010.
7. M. M. Gaber, S. Krishnaswamy, and A. B. Zaslavsky, "Cost-efficient mining techniques for data streams." in Proceedings of ACSW Frontiers' 04, 2004, pp. 109-114.
8. "Citysense," available from: http://www.sensenetworks.com/ citysense.php.
9. Y. Wang, J. Lin, M. Annavaram, Q. Jacobson, J. I. Hong, B. Krishnamachari, and N. M. Sadeh, "A framework of energy efficient mobile sensing for automatic user state recognition." in Proceedings of MobiSys'09, 2009, pp. 179-192.
10. M. Musolesi, M. Piraccini, K. Fodor, A. Corradi, and A. Campbell, "Supporting energy-efficient uploading strategies for continuous sensing applications on mobile phones," in Pervasive Computing, ser. Lecture Notes in Computer Science, P. Floren, A. Krger, and M. Spasojevic, Eds. Springer Berlin Heidelberg, 2010, vol. 6030, pp. 355-372.
11. S. Krishnaswamy, M. Gaber, M. Harbach, C. Hugues, A. Sinha, B. Gillick, P. Haghighi, and A. Zaslavsky, "Open mobile miner: a toolkit for mobile data stream mining," in Proceedings of ACM KDD?09, 2009, pp. 109-114.
12. "Stat: F-test," available from: http://people.richland.edu/ james/lecture/m170/ch13-f.html. Accessed on Dec 2011.